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3282951
journals/csur/MaiorcaBG19
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks.
Davide Maiorca, Battista Biggio, Giorgio Giacinto
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
78:1-78:36
https://dblp.org/rec/journals/csur/MaiorcaBG19
https://doi.org/10.1145/3332184
Malware still constitutes a major threat in the cybersecurity landscape, also due to the widespread use of infection vectors such as documents. These infection vectors hide embedded malicious code to the victim users, facilitating the use of social engineering techniques to infect their machines. Research showed that m...
@article{DBLP:journals/csur/MaiorcaBG19, author = {Davide Maiorca and Battista Biggio and Giorgio Giacinto}, title = {Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks.}, journal = {ACM Comput. Surv.}, volume = {52}, numbe...
3282869
journals/csur/AhmedRH19
Trust Evaluation in Cross-Cloud Federation: Survey and Requirement Analysis.
Usama Ahmed, Imran Raza, Syed Asad Hussain
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
19:1-19:37
https://dblp.org/rec/journals/csur/AhmedRH19
https://doi.org/10.1145/3292499
Cross-Cloud Federation (CCF) is beneficial for heterogeneous Cloud Service Providers (CSPs) for leasing additional resources from each other. Despite the benefits of on-demand scalability and enhanced service footprints for better service quality, the adoption of CCF is however mainly hindered due to the lack of a comp...
@article{DBLP:journals/csur/AhmedRH19, author = {Usama Ahmed and Imran Raza and Syed Asad Hussain}, title = {Trust Evaluation in Cross-Cloud Federation: Survey and Requirement Analysis.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {...
3282911
journals/csur/GhoshDDM19
Understanding Deep Learning Techniques for Image Segmentation.
Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
73:1-73:35
https://dblp.org/rec/journals/csur/GhoshDDM19
https://doi.org/10.1145/3329784
The machine learning community has been overwhelmed by a plethora of deep learning--based approaches. Many challenging computer vision tasks, such as detection, localization, recognition, and segmentation of objects in an unconstrained environment, are being efficiently addressed by various types of deep neural network...
@article{DBLP:journals/csur/GhoshDDM19, author = {Swarnendu Ghosh and Nibaran Das and Ishita Das and Ujjwal Maulik}, title = {Understanding Deep Learning Techniques for Image Segmentation.}, journal = {ACM Comput. Surv.}, volume = {52...
3282943
journals/csur/LiaoZ19
Unsupervised Approaches for Textual Semantic Annotation, A Survey.
Xiaofeng Liao, Zhiming Zhao
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
66:1-66:45
https://dblp.org/rec/journals/csur/LiaoZ19
https://doi.org/10.1145/3324473
Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has long been a research topic among various communities. The most challenging problem in reaching the Semantic Web’s real potential is the gap between a large amount of unlabeled existing/new data and the limited annotation capabilit...
@article{DBLP:journals/csur/LiaoZ19, author = {Xiaofeng Liao and Zhiming Zhao}, title = {Unsupervised Approaches for Textual Semantic Annotation, A Survey.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {4}, pages = {66:1--66:45}, year ...
3282989
journals/csur/SilvaVBVSLQ19
Urban Computing Leveraging Location-Based Social Network Data: A Survey.
Thiago Henrique Silva, Aline Carneiro Viana, Fabrício Benevenuto, Leandro Villas, Juliana F. S. Salles, Antonio A. F. Loureiro, Daniele Quercia
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
17:1-17:39
https://dblp.org/rec/journals/csur/SilvaVBVSLQ19
https://doi.org/10.1145/3301284
Urban computing is an emerging area of investigation in which researchers study cities using digital data. Location-Based Social Networks (LBSNs) generate one specific type of digital data that offers unprecedented geographic and temporal resolutions. We discuss fundamental concepts of urban computing leveraging LBSN d...
@article{DBLP:journals/csur/SilvaVBVSLQ19, author = {Thiago Henrique Silva and Aline Carneiro Viana and Fabrício Benevenuto and Leandro Villas and Juliana F. S. Salles and Antonio A. F. Loureiro and Danie...
3282932
journals/csur/KSR19
Video Skimming: Taxonomy and Comprehensive Survey.
Vivekraj V. K, Debashis Sen, Balasubramanian Raman
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
106:1-106:38
https://dblp.org/rec/journals/csur/KSR19
https://doi.org/10.1145/3347712
Video skimming, also known as dynamic video summarization, generates a temporally abridged version of a given video. Skimming can be achieved by identifying significant components either in uni-modal or multi-modal features extracted from the video. Being dynamic in nature, video skimming, through temporal connectivity...
@article{DBLP:journals/csur/KSR19, author = {Vivekraj V. K and Debashis Sen and Balasubramanian Raman}, title = {Video Skimming: Taxonomy and Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {5}, pages = {...
3282949
journals/csur/MaZW19
WiFi Sensing with Channel State Information: A Survey.
Yongsen Ma, Gang Zhou 0002, Shuangquan Wang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,019
unknown
46:1-46:36
https://dblp.org/rec/journals/csur/MaZW19
https://doi.org/10.1145/3310194
With the high demand for wireless data traffic, WiFi networks have experienced very rapid growth, because they provide high throughput and are easy to deploy. Recently, Channel State Information (CSI) measured by WiFi networks is widely used for different sensing purposes. To get a better understanding of existing WiFi...
@article{DBLP:journals/csur/MaZW19, author = {Yongsen Ma and Gang Zhou 0002 and Shuangquan Wang}, title = {WiFi Sensing with Channel State Information: A Survey.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {3}, pages = {46...
2846696
journals/csur/LiT20
A Comprehensive Review of the Fireworks Algorithm.
Junzhi Li 0001, Ying Tan 0002
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
121:1-121:28
https://dblp.org/rec/journals/csur/LiT20
https://doi.org/10.1145/3362788
The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been attracting more and more research interest and has been widely employed in many real-world problems due to its unique search manner and high ...
@article{DBLP:journals/csur/LiT20, author = {Junzhi Li 0001 and Ying Tan 0002}, title = {A Comprehensive Review of the Fireworks Algorithm.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {121:1--121:28}, year = {2020}, ...
2846698
journals/csur/LiuZLLDHYW20
A Survey of Coarse-Grained Reconfigurable Architecture and Design: Taxonomy, Challenges, and Applications.
Leibo Liu, Jianfeng Zhu 0001, Zhaoshi Li, Yanan Lu, Yangdong Deng, Jie Han 0001, Shouyi Yin, Shaojun Wei
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
118:1-118:39
https://dblp.org/rec/journals/csur/LiuZLLDHYW20
https://doi.org/10.1145/3357375
As general-purpose processors have hit the power wall and chip fabrication cost escalates alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing interest from both academia and industry, because they offer the performance and energy efficiency of hardware with the flexibility of softw...
@article{DBLP:journals/csur/LiuZLLDHYW20, author = {Leibo Liu and Jianfeng Zhu 0001 and Zhaoshi Li and Yanan Lu and Yangdong Deng and Jie Han 0001 and Shouyi Yin and Shaojun Wei}, titl...
2846695
journals/csur/LeiteRKMM20
A Survey of DevOps Concepts and Challenges.
Leonardo A. F. Leite, Carla Rocha, Fabio Kon, Dejan S. Milojicic, Paulo Meirelles
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
127:1-127:35
https://dblp.org/rec/journals/csur/LeiteRKMM20
https://doi.org/10.1145/3359981
DevOpsis a collaborative and multidisciplinary organizational effort to automate continuous delivery of new software updates while guaranteeing their correctness and reliability. The present survey investigates and discusses DevOps challenges from the perspective of engineers, managers, and researchers. We review the l...
@article{DBLP:journals/csur/LeiteRKMM20, author = {Leonardo A. F. Leite and Carla Rocha and Fabio Kon and Dejan S. Milojicic and Paulo Meirelles}, title = {A Survey of DevOps Concepts and Challenges.}, journal = {ACM Comput....
2846688
journals/csur/BridgesGIVC20
A Survey of Intrusion Detection Systems Leveraging Host Data.
Robert A. Bridges, Tarrah R. Glass-Vanderlan, Michael D. Iannacone, Maria S. Vincent, Qian (Guenevere) Chen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
128:1-128:35
https://dblp.org/rec/journals/csur/BridgesGIVC20
https://doi.org/10.1145/3344382
This survey focuses on intrusion detection systems (IDS) that leverage host-based data sources for detecting attacks on enterprise network. The host-based IDS (HIDS) literature is organized by the input data source, presenting targeted sub-surveys of HIDS research leveraging system logs, audit data, Windows Registry, f...
@article{DBLP:journals/csur/BridgesGIVC20, author = {Robert A. Bridges and Tarrah R. Glass-Vanderlan and Michael D. Iannacone and Maria S. Vincent and Qian (Guenevere) Chen}, title = {A Survey of Intrusion Detection Systems Leverag...
2846697
journals/csur/LilisS20
A Survey of Metaprogramming Languages.
Yannis Lilis, Anthony Savidis
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
113:1-113:39
https://dblp.org/rec/journals/csur/LilisS20
https://doi.org/10.1145/3354584
Metaprogramming is the process of writing computer programs that treat programs as data, enabling them to analyze or transform existing programs or generate new ones. While the concept of metaprogramming has existed for several decades, activities focusing on metaprogramming have been increasing rapidly over the past f...
@article{DBLP:journals/csur/LilisS20, author = {Yannis Lilis and Anthony Savidis}, title = {A Survey of Metaprogramming Languages.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {113:1--113:39}, year = {2020}, url ...
2846701
journals/csur/RenZHZL20
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms: Transparent Computing, Mobile Edge Computing, Fog Computing, and Cloudlet.
Ju Ren 0001, Deyu Zhang, Shiwen He, Yaoxue Zhang, Tao Li 0006
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
125:1-125:36
https://dblp.org/rec/journals/csur/RenZHZL20
https://doi.org/10.1145/3362031
Sending data to the cloud for analysis was a prominent trend during the past decades, driving cloud computing as a dominant computing paradigm. However, the dramatically increasing number of devices and data traffic in the Internet-of-Things (IoT) era are posing significant burdens on the capacity-limited Internet and ...
@article{DBLP:journals/csur/RenZHZL20, author = {Ju Ren 0001 and Deyu Zhang and Shiwen He and Yaoxue Zhang and Tao Li 0006}, title = {A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms: Transparent Computing, Mobil...
2846693
journals/csur/HumbertTH20
A Survey on Interdependent Privacy.
Mathias Humbert, Benjamin Trubert, Kévin Huguenin
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
122:1-122:40
https://dblp.org/rec/journals/csur/HumbertTH20
https://doi.org/10.1145/3360498
The privacy of individuals does not only depend on their own actions and data but may also be affected by the privacy decisions and by the data shared by other individuals. This interdependence is an essential aspect of privacy and ignoring it can lead to serious privacy violations. In this survey, we summarize and ana...
@article{DBLP:journals/csur/HumbertTH20, author = {Mathias Humbert and Benjamin Trubert and Kévin Huguenin}, title = {A Survey on Interdependent Privacy.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {122:1--122...
2846704
journals/csur/UsmanJHC20
A Survey on Representation Learning Efforts in Cybersecurity Domain.
Muhammad Usman 0015, Mian Ahmad Jan, Xiangjian He, Jinjun Chen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
111:1-111:28
https://dblp.org/rec/journals/csur/UsmanJHC20
https://doi.org/10.1145/3331174
In this technology-based era, network-based systems are facing new cyber-attacks on daily bases. Traditional cybersecurity approaches are based on old threat-knowledge databases and need to be updated on a daily basis to stand against new generation of cyber-threats and protect underlying network-based systems. Along w...
@article{DBLP:journals/csur/UsmanJHC20, author = {Muhammad Usman 0015 and Mian Ahmad Jan and Xiangjian He and Jinjun Chen}, title = {A Survey on Representation Learning Efforts in Cybersecurity Domain.}, journal = {ACM Comput. Surv.}, volum...
2846703
journals/csur/ThilakaratneFA20
A Systematic Review on Literature-based Discovery: General Overview, Methodology, & Statistical Analysis.
Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
129:1-129:34
https://dblp.org/rec/journals/csur/ThilakaratneFA20
https://doi.org/10.1145/3365756
The vast nature of scientific publications brings out the importance of Literature-Based Discovery (LBD) research that is highly beneficial to accelerate knowledge acquisition and the research development process. LBD is a knowledge discovery workflow that automatically detects significant, implicit knowledge associati...
@article{DBLP:journals/csur/ThilakaratneFA20, author = {Menasha Thilakaratne and Katrina Falkner and Thushari Atapattu}, title = {A Systematic Review on Literature-based Discovery: General Overview, Methodology, & Statistical Analysis.}, journal = {ACM Comput....
2846699
journals/csur/ManralSCCG20
A Systematic Survey on Cloud Forensics Challenges, Solutions, and Future Directions.
Bharat Manral, Gaurav Somani 0001, Kim-Kwang Raymond Choo, Mauro Conti, Manoj Singh Gaur
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
124:1-124:38
https://dblp.org/rec/journals/csur/ManralSCCG20
https://doi.org/10.1145/3361216
The challenges of cloud forensics have been well-documented by both researchers and government agencies (e.g., U.S. National Institute of Standards and Technology), although many of the challenges remain unresolved. In this article, we perform a comprehensive survey of cloud forensic literature published between Januar...
@article{DBLP:journals/csur/ManralSCCG20, author = {Bharat Manral and Gaurav Somani 0001 and Kim-Kwang Raymond Choo and Mauro Conti and Manoj Singh Gaur}, title = {A Systematic Survey on Cloud Forensics Challenges, Solutions, and F...
2846690
journals/csur/FoltynekMG20
Academic Plagiarism Detection: A Systematic Literature Review.
Tomás Foltýnek, Norman Meuschke, Bela Gipp
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
112:1-112:42
https://dblp.org/rec/journals/csur/FoltynekMG20
https://doi.org/10.1145/3345317
This article summarizes the research on computational methods to detect academic plagiarism by systematically reviewing 239 research papers published between 2013 and 2018. To structure the presentation of the research contributions, we propose novel technically oriented typologies for plagiarism prevention and detecti...
@article{DBLP:journals/csur/FoltynekMG20, author = {Tomás Foltýnek and Norman Meuschke and Bela Gipp}, title = {Academic Plagiarism Detection: A Systematic Literature Review.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages...
2846706
journals/csur/ZhuLTJX20
Applications of Distributed Ledger Technologies to the Internet of Things: A Survey.
Qingyi Zhu, Seng W. Loke, Rolando Trujillo-Rasua, Frank Jiang 0001, Yong Xiang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
120:1-120:34
https://dblp.org/rec/journals/csur/ZhuLTJX20
https://doi.org/10.1145/3359982
Distributed Ledger Technologies (DLTs) and blockchain systems have received enormous academic, government, and commercial interest in recent years. This article surveys the integration of DLTs within another life-changing technology, the Internet of Things (IoT). IoT-based applications, such as smart home, smart transp...
@article{DBLP:journals/csur/ZhuLTJX20, author = {Qingyi Zhu and Seng W. Loke and Rolando Trujillo-Rasua and Frank Jiang 0001 and Yong Xiang 0001}, title = {Applications of Distributed Ledger Technologies to the Internet of Things: ...
2846705
journals/csur/WuBR20
Cloud Pricing Models: Taxonomy, Survey, and Interdisciplinary Challenges.
Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
108:1-108:36
https://dblp.org/rec/journals/csur/WuBR20
https://doi.org/10.1145/3342103
This article provides a systematic review of cloud pricing in an interdisciplinary approach. It examines many historical cases of pricing in practice and tracks down multiple roots of pricing in research. The aim is to help both cloud service provider (CSP) and cloud customers to capture the essence of cloud pricing wh...
@article{DBLP:journals/csur/WuBR20, author = {Caesar Wu and Rajkumar Buyya and Kotagiri Ramamohanarao}, title = {Cloud Pricing Models: Taxonomy, Survey, and Interdisciplinary Challenges.}, journal = {ACM Comput. Surv.}, volume = {52}, number = ...
2846687
journals/csur/BinMakhashenM20
Document Layout Analysis: A Comprehensive Survey.
Galal M. BinMakhashen, Sabri A. Mahmoud
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
109:1-109:36
https://dblp.org/rec/journals/csur/BinMakhashenM20
https://doi.org/10.1145/3355610
Document layout analysis (DLA) is a preprocessing step of document understanding systems. It is responsible for detecting and annotating the physical structure of documents. DLA has several important applications such as document retrieval, content categorization, text recognition, and the like. The objective of DLA is...
@article{DBLP:journals/csur/BinMakhashenM20, author = {Galal M. BinMakhashen and Sabri A. Mahmoud}, title = {Document Layout Analysis: A Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {109:1--109:36}, year ...
2846702
journals/csur/SainiG20
How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies.
Mukesh Kumar Saini, Neeraj Goel
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
130:1-130:28
https://dblp.org/rec/journals/csur/SainiG20
https://doi.org/10.1145/3365757
There has been a large amount of work on smart classrooms spanning over a wide range of research areas including information communication technology, machine learning, sensor networks, mobile computing, and hardware. Consequently, there have been several disparate reviews on various aspects of smart classrooms. Such p...
@article{DBLP:journals/csur/SainiG20, author = {Mukesh Kumar Saini and Neeraj Goel}, title = {How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {130:1--130:28}...
2846685
journals/csur/AfianianNSB20
Malware Dynamic Analysis Evasion Techniques: A Survey.
Amir Afianian, Salman Niksefat, Babak Sadeghiyan, David Baptiste
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
126:1-126:28
https://dblp.org/rec/journals/csur/AfianianNSB20
https://doi.org/10.1145/3365001
The cyber world is plagued with ever-evolving malware that readily infiltrate all defense mechanisms, operate viciously unbeknownst to the user, and surreptitiously exfiltrate sensitive data. Understanding the inner workings of such malware provides a leverage to effectively combat them. This understanding is pursued o...
@article{DBLP:journals/csur/AfianianNSB20, author = {Amir Afianian and Salman Niksefat and Babak Sadeghiyan and David Baptiste}, title = {Malware Dynamic Analysis Evasion Techniques: A Survey.}, journal = {ACM Comput. Surv.}, volume =...
2846707
journals/csur/ZhuW20
Model-driven Game Development: A Literature Review.
Meng Zhu, Alf Inge Wang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
123:1-123:32
https://dblp.org/rec/journals/csur/ZhuW20
https://doi.org/10.1145/3365000
Model-driven game development (MDGD) introduces model-driven methodology to the computer game domain, shifting the focus of game development from coding to modeling to make game development faster and easier. The research on MDGD is concerned with both the general model-driven software development methodology and the p...
@article{DBLP:journals/csur/ZhuW20, author = {Meng Zhu and Alf Inge Wang}, title = {Model-driven Game Development: A Literature Review.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {123:1--123:32}, year = {2020}, url...
2846691
journals/csur/GleirscherFW20
New Opportunities for Integrated Formal Methods.
Mario Gleirscher, Simon Foster 0001, Jim Woodcock 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
117:1-117:36
https://dblp.org/rec/journals/csur/GleirscherFW20
https://doi.org/10.1145/3357231
Formal methods have provided approaches for investigating software engineering fundamentals and also have high potential to improve current practices in dependability assurance. In this article, we summarise known strengths and weaknesses of formal methods. From the perspective of the assurance of robots and autonomous...
@article{DBLP:journals/csur/GleirscherFW20, author = {Mario Gleirscher and Simon Foster 0001 and Jim Woodcock 0001}, title = {New Opportunities for Integrated Formal Methods.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages...
2846689
journals/csur/DrobyshevskiyT20
Random Graph Modeling: A Survey of the Concepts.
Mikhail Drobyshevskiy, Denis Turdakov
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
131:1-131:36
https://dblp.org/rec/journals/csur/DrobyshevskiyT20
https://doi.org/10.1145/3369782
Random graph (RG) models play a central role in complex networks analysis. They help us to understand, control, and predict phenomena occurring, for instance, in social networks, biological networks, the Internet, and so on. Despite a large number of RG models presented in the literature, there are few concepts underly...
@article{DBLP:journals/csur/DrobyshevskiyT20, author = {Mikhail Drobyshevskiy and Denis Turdakov}, title = {Random Graph Modeling: A Survey of the Concepts.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {131:1--131:36}, year ...
2846692
journals/csur/GuzmanTS20
Security and Privacy Approaches in Mixed Reality: A Literature Survey.
Jaybie A. de Guzman, Kanchana Thilakarathna, Aruna Seneviratne
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
110:1-110:37
https://dblp.org/rec/journals/csur/GuzmanTS20
https://doi.org/10.1145/3359626
Mixed reality (MR) technology development is now gaining momentum due to advances in computer vision, sensor fusion, and realistic display technologies. With most of the research and development focused on delivering the promise of MR, the privacy and security implications of this technology are yet to be thoroughly in...
@article{DBLP:journals/csur/GuzmanTS20, author = {Jaybie A. de Guzman and Kanchana Thilakarathna and Aruna Seneviratne}, title = {Security and Privacy Approaches in Mixed Reality: A Literature Survey.}, journal = {ACM Comput. Surv.}, volume = {52}, n...
2846700
journals/csur/NgoP20
Seeing the Invisible: Survey of Video Motion Magnification and Small Motion Analysis.
Anh Cat Le Ngo, Raphael C.-W. Phan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
114:1-114:20
https://dblp.org/rec/journals/csur/NgoP20
https://doi.org/10.1145/3355389
The latest techniques in video motion magnification and relevant small motion analysis are surveyed. The main motion magnification techniques are discussed in chronological fashion, highlighting the inherent limitations of predecessor techniques in comparison with subsequent variants. The focus is then shifted to the s...
@article{DBLP:journals/csur/NgoP20, author = {Anh Cat Le Ngo and Raphael C.-W. Phan}, title = {Seeing the Invisible: Survey of Video Motion Magnification and Small Motion Analysis.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {1...
2846686
journals/csur/BasavarajaiahS20
Survey of Compressed Domain Video Summarization Techniques.
Madhushree Basavarajaiah, Priyanka Sharma
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
116:1-116:29
https://dblp.org/rec/journals/csur/BasavarajaiahS20
https://doi.org/10.1145/3355398
Video summarization is the method of extracting key frames or clips from a video to generate a synopsis of the content of the video. Generally, video is compressed before storing or transmitting it in most of the practical applications. Traditional techniques require the videos to be decoded to summarize them, which is...
@article{DBLP:journals/csur/BasavarajaiahS20, author = {Madhushree Basavarajaiah and Priyanka Sharma}, title = {Survey of Compressed Domain Video Summarization Techniques.}, journal = {ACM Comput. Surv.}, volume = {52}, number = {6}, pages = {116:1--116...
2846694
journals/csur/JoshiKSPM20
Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective.
Aditya Joshi 0001, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
119:1-119:19
https://dblp.org/rec/journals/csur/JoshiKSPM20
https://doi.org/10.1145/3361141
Epidemic intelligence deals with the detection of outbreaks using formal (such as hospital records) and informal sources (such as user-generated text on the web) of information. In this survey, we discuss approaches for epidemic intelligence that use textual datasets, referring to it as “text-based epidemic intelligenc...
@article{DBLP:journals/csur/JoshiKSPM20, author = {Aditya Joshi 0001 and Sarvnaz Karimi and Ross Sparks and Cécile Paris and C. Raina MacIntyre}, title = {Survey of Text-based Epidemic Intelligence: A Computational Linguistics Pers...
2846684
journals/csur/AafaqMLGS20
Video Description: A Survey of Methods, Datasets, and Evaluation Metrics.
Nayyer Aafaq, Ajmal Mian, Wei Liu 0006, Syed Zulqarnain Gilani, Mubarak Shah
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,020
unknown
115:1-115:37
https://dblp.org/rec/journals/csur/AafaqMLGS20
https://doi.org/10.1145/3355390
Video description is the automatic generation of natural language sentences that describe the contents of a given video. It has applications in human-robot interaction, helping the visually impaired and video subtitling. The past few years have seen a surge of research in this area due to the unprecedented success of d...
@article{DBLP:journals/csur/AafaqMLGS20, author = {Nayyer Aafaq and Ajmal Mian and Wei Liu 0006 and Syed Zulqarnain Gilani and Mubarak Shah}, title = {Video Description: A Survey of Methods, Datasets, and Evaluation Metrics.}, jo...
2377033
journals/csur/WarfordVS20
A Calculational Deductive System for Linear Temporal Logic.
J. Stanley Warford, David Vega, Scott M. Staley
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
53:1-53:38
https://dblp.org/rec/journals/csur/WarfordVS20
https://doi.org/10.1145/3387109
This article surveys the linear temporal logic (LTL) literature and presents all the LTL theorems from the survey, plus many new ones, in a calculational deductive system. Calculational deductive systems, developed by Dijkstra and Scholten and extended by Gries and Schneider, are based on only four inference rules—Subs...
@article{DBLP:journals/csur/WarfordVS20, author = {J. Stanley Warford and David Vega and Scott M. Staley}, title = {A Calculational Deductive System for Linear Temporal Logic.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {3}, page...
2377026
journals/csur/ValejoFFOL20
A Critical Survey of the Multilevel Method in Complex Networks.
Alan Valejo, Vinícius Ferreira 0001, Renato Fabbri, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
39:1-39:35
https://dblp.org/rec/journals/csur/ValejoFFOL20
https://doi.org/10.1145/3379347
Multilevel optimization aims at reducing the cost of executing a target network-based algorithm by exploiting coarsened, i.e., reduced or simplified, versions of the network. There is a growing interest in multilevel algorithms in networked systems, mostly motivated by the urge for solutions capable of handling large-s...
@article{DBLP:journals/csur/ValejoFFOL20, author = {Alan Valejo and Vinícius Ferreira 0001 and Renato Fabbri and Maria Cristina Ferreira de Oliveira and Alneu de Andrade Lopes}, title = {A Critical Survey of the Multilevel Method i...
2376927
journals/csur/AnwarKB20
A Deep Journey into Super-resolution: A Survey.
Saeed Anwar, Salman H. Khan 0001, Nick Barnes
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
60:1-60:34
https://dblp.org/rec/journals/csur/AnwarKB20
https://doi.org/10.1145/3390462
Deep convolutional networks–based super-resolution is a fast-growing field with numerous practical applications. In this exposition, we extensively compare more than 30 state-of-the-art super-resolution Convolutional Neural Networks (CNNs) over three classical and three recently introduced challenging datasets to bench...
@article{DBLP:journals/csur/AnwarKB20, author = {Saeed Anwar and Salman H. Khan 0001 and Nick Barnes}, title = {A Deep Journey into Super-resolution: A Survey.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {3}, pages = {60:1...
2376946
journals/csur/CiniY20
A Methodology for Comparing the Reliability of GPU-Based and CPU-Based HPCs.
Nevin Cini, Gulay Yalcin
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
22:1-22:33
https://dblp.org/rec/journals/csur/CiniY20
https://doi.org/10.1145/3372790
Today, GPUs are widely used as coprocessors/accelerators in High-Performance Heterogeneous Computing due to their many advantages. However, many researches emphasize that GPUs are not as reliable as desired yet. Despite the fact that GPUs are more vulnerable to hardware errors than CPUs, the use of GPUs in HPCs is incr...
@article{DBLP:journals/csur/CiniY20, author = {Nevin Cini and Gulay Yalcin}, title = {A Methodology for Comparing the Reliability of GPU-Based and CPU-Based HPCs.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {1}, pages = {22:1--22:33}, yea...
2377004
journals/csur/PreumMMYSWAS21
A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions.
Sarah Masud Preum, Sirajum Munir, Meiyi Ma, Mohammad Samin Yasar, David J. Stone, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
130:1-130:37
https://dblp.org/rec/journals/csur/PreumMMYSWAS21
https://doi.org/10.1145/3419368
. While HCAs are critical to ensure personalized, scalable, and efficient healthcare, there exists a knowledge gap in finding the emerging trends, key challenges, design guidelines, and state-of-the-art technologies suitable for developing HCAs. This survey aims to bridge this gap for researchers from multiple domains,...
@article{DBLP:journals/csur/PreumMMYSWAS21, author = {Sarah Masud Preum and Sirajum Munir and Meiyi Ma and Mohammad Samin Yasar and David J. Stone and Ronald D. Williams and Homa Alemzadeh and ...
2376988
journals/csur/MacedoPPB20
A Survey and Classification of Software-Defined Storage Systems.
Ricardo Macedo, João Paulo 0001, José Pereira 0001, Alysson Bessani
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
48:1-48:38
https://dblp.org/rec/journals/csur/MacedoPPB20
https://doi.org/10.1145/3385896
The exponential growth of digital information is imposing increasing scale and efficiency demands on modern storage infrastructures. As infrastructure complexity increases, so does the difficulty in ensuring quality of service, maintainability, and resource fairness, raising unprecedented performance, scalability, and ...
@article{DBLP:journals/csur/MacedoPPB20, author = {Ricardo Macedo and João Paulo 0001 and José Pereira 0001 and Alysson Bessani}, title = {A Survey and Classification of Software-Defined Storage Systems.}, journal = {ACM Comput. Surv.}, vol...
2377006
journals/csur/QiuZLPNX21
A Survey of Android Malware Detection with Deep Neural Models.
Junyang Qiu, Jun Zhang 0010, Wei Luo 0001, Lei Pan 0002, Surya Nepal, Yang Xiang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
126:1-126:36
https://dblp.org/rec/journals/csur/QiuZLPNX21
https://doi.org/10.1145/3417978
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber security research. Deep learning models have many advantages over traditional Machine Learning (ML) models, particularly when there is a large amount of data available. Android malware detection or classification qualifies as a big da...
@article{DBLP:journals/csur/QiuZLPNX21, author = {Junyang Qiu and Jun Zhang 0010 and Wei Luo 0001 and Lei Pan 0002 and Surya Nepal and Yang Xiang 0001}, title = {A Survey of Android Malware Detection with Deep Neu...
2376917
journals/csur/AguiarFKU20
A Survey of Blockchain-Based Strategies for Healthcare.
Erikson Júlio De Aguiar, Bruno S. Faiçal, Bhaskar Krishnamachari, Jó Ueyama
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
27:1-27:27
https://dblp.org/rec/journals/csur/AguiarFKU20
https://doi.org/10.1145/3376915
Blockchain technology has been gaining visibility owing to its ability to enhance the security, reliability, and robustness of distributed systems. Several areas have benefited from research based on this technology, such as finance, remote sensing, data analysis, and healthcare. Data immutability, privacy, transparenc...
@article{DBLP:journals/csur/AguiarFKU20, author = {Erikson Júlio De Aguiar and Bruno S. Faiçal and Bhaskar Krishnamachari and Jó Ueyama}, title = {A Survey of Blockchain-Based Strategies for Healthcare.}, journal = {ACM Comput. Surv.}, volu...
2376935
journals/csur/BraisKP20
A Survey of Cache Simulators.
Hadi Brais, Rajshekar Kalayappan, Preeti Ranjan Panda
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
19:1-19:32
https://dblp.org/rec/journals/csur/BraisKP20
https://doi.org/10.1145/3372393
Computer architecture simulation tools are essential for implementing and evaluating new ideas in the domain and can be useful for understanding the behavior of programs and finding microarchitectural bottlenecks. One particularly important part of almost any processor is the cache hierarchy. While some simulators supp...
@article{DBLP:journals/csur/BraisKP20, author = {Hadi Brais and Rajshekar Kalayappan and Preeti Ranjan Panda}, title = {A Survey of Cache Simulators.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {1}, pages = {19:1--19:32}, ...
2376942
journals/csur/ChenPPXZHZ20
A Survey of Compiler Testing.
Junjie Chen 0003, Jibesh Patra, Michael Pradel, Yingfei Xiong 0001, Hongyu Zhang 0002, Dan Hao 0001, Lu Zhang 0023
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
4:1-4:36
https://dblp.org/rec/journals/csur/ChenPPXZHZ20
https://doi.org/10.1145/3363562
Virtually any software running on a computer has been processed by a compiler or a compiler-like tool. Because compilers are such a crucial piece of infrastructure for building software, their correctness is of paramount importance. To validate and increase the correctness of compilers, significant research efforts hav...
@article{DBLP:journals/csur/ChenPPXZHZ20, author = {Junjie Chen 0003 and Jibesh Patra and Michael Pradel and Yingfei Xiong 0001 and Hongyu Zhang 0002 and Dan Hao 0001 and Lu Zhang 0023}, title = ...
2376986
journals/csur/LuoGVK20
A Survey of Context Simulation for Testing Mobile Context-Aware Applications.
Chu Luo, Jorge Gonçalves 0001, Eduardo Velloso, Vassilis Kostakos
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
21:1-21:39
https://dblp.org/rec/journals/csur/LuoGVK20
https://doi.org/10.1145/3372788
Equipped with an abundance of small-scale microelectromechanical sensors, modern mobile devices such as smartphones and smartwatches can now offer context-aware services to users in mobile environments. Although advances in mobile context-aware applications have made our everyday environments increasingly intelligent, ...
@article{DBLP:journals/csur/LuoGVK20, author = {Chu Luo and Jorge Gonçalves 0001 and Eduardo Velloso and Vassilis Kostakos}, title = {A Survey of Context Simulation for Testing Mobile Context-Aware Applications.}, journal = {ACM Comput. Surv....
2376992
journals/csur/MatheuRSB21
A Survey of Cybersecurity Certification for the Internet of Things.
Sara Nieves Matheu, José Luis Hernández-Ramos, Antonio F. Skarmeta, Gianmarco Baldini
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
115:1-115:36
https://dblp.org/rec/journals/csur/MatheuRSB21
https://doi.org/10.1145/3410160
In recent years, cybersecurity certification is gaining momentum as the baseline to build a structured approach to mitigate cybersecurity risks in the Internet of Things (IoT). This initiative is driven by industry, governmental institutions, and research communities, which have the goal to make IoT more secure for the...
@article{DBLP:journals/csur/MatheuRSB21, author = {Sara Nieves Matheu and José Luis Hernández-Ramos and Antonio F. Skarmeta and Gianmarco Baldini}, title = {A Survey of Cybersecurity Certification for the Internet of Things.}, journal = {ACM ...
2377045
journals/csur/ZhouZ20
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities.
Xinyi Zhou 0001, Reza Zafarani
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
109:1-109:40
https://dblp.org/rec/journals/csur/ZhouZ20
https://doi.org/10.1145/3395046
The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four perspectives: the false knowledge it carries, its writing style , its propagation pat...
@article{DBLP:journals/csur/ZhouZ20, author = {Xinyi Zhou 0001 and Reza Zafarani}, title = {A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {109:1--...
2376948
journals/csur/CongZLCWL20
A Survey of Hierarchical Energy Optimization for Mobile Edge Computing: A Perspective from End Devices to the Cloud.
Peijin Cong, Junlong Zhou, Liying Li 0002, Kun Cao 0001, Tongquan Wei, Keqin Li 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
38:1-38:44
https://dblp.org/rec/journals/csur/CongZLCWL20
https://doi.org/10.1145/3378935
With the development of wireless technology, various emerging mobile applications are attracting significant attention and drastically changing our daily lives. Applications such as augmented reality and object recognition demand stringent delay and powerful processing capability, which exerts enormous pressure on mobi...
@article{DBLP:journals/csur/CongZLCWL20, author = {Peijin Cong and Junlong Zhou and Liying Li 0002 and Kun Cao 0001 and Tongquan Wei and Keqin Li 0001}, title = {A Survey of Hierarchical Energy Optimization for Mo...
2376962
journals/csur/FigueroaAA20
A Survey of IIoT Protocols: A Measure of Vulnerability Risk Analysis Based on CVSS.
Santiago Figueroa, Javier Añorga, Saioa Arrizabalaga
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
44:1-44:53
https://dblp.org/rec/journals/csur/FigueroaAA20
https://doi.org/10.1145/3381038
Industrial Internet of Things (IIoT) is present in many participants from the energy, health, manufacturing, transport, and public sectors. Many factors catalyze IIoT, such as robotics, artificial intelligence, and intelligent decentralized manufacturing. However, the convergence between IT, OT, and IoT environments in...
@article{DBLP:journals/csur/FigueroaAA20, author = {Santiago Figueroa and Javier Añorga and Saioa Arrizabalaga}, title = {A Survey of IIoT Protocols: A Measure of Vulnerability Risk Analysis Based on CVSS.}, journal = {ACM Comput. Surv.}, volume = {53}...
2376978
journals/csur/LaoLHXGY20
A Survey of IoT Applications in Blockchain Systems: Architecture, Consensus, and Traffic Modeling.
Laphou Lao, Zecheng Li 0001, Songlin Hou, Bin Xiao 0001, Songtao Guo, Yuanyuan Yang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
18:1-18:32
https://dblp.org/rec/journals/csur/LaoLHXGY20
https://doi.org/10.1145/3372136
Blockchain technology can be extensively applied in diverse services, including online micro-payments, supply chain tracking, digital forensics, health-care record sharing, and insurance payments. Extending the technology to the Internet of things (IoT), we can obtain a verifiable and traceable IoT network. Emerging re...
@article{DBLP:journals/csur/LaoLHXGY20, author = {Laphou Lao and Zecheng Li 0001 and Songlin Hou and Bin Xiao 0001 and Songtao Guo and Yuanyuan Yang 0001}, title = {A Survey of IoT Applications in Blockchain Syste...
2376963
journals/csur/GuoCLH020
A Survey of Learning Causality with Data: Problems and Methods.
Ruocheng Guo, Lu Cheng 0001, Jundong Li, P. Richard Hahn, Huan Liu 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
75:1-75:37
https://dblp.org/rec/journals/csur/GuoCLH020
https://doi.org/10.1145/3397269
This work considers the question of how convenient access to copious data impacts our ability to learn causal effects and relations. In what ways is learning causality in the era of big data different from—or the same as—the traditional one? To answer this question, this survey provides a comprehensive and structured r...
@article{DBLP:journals/csur/GuoCLH020, author = {Ruocheng Guo and Lu Cheng 0001 and Jundong Li and P. Richard Hahn and Huan Liu 0001}, title = {A Survey of Learning Causality with Data: Problems and Methods.}, journal = {ACM...
2377003
journals/csur/PrenkajVSDF20
A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses.
Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
57:1-57:34
https://dblp.org/rec/journals/csur/PrenkajVSDF20
https://doi.org/10.1145/3388792
The recent diffusion of online education (both MOOCs and e-courses) has led to an increased economic and scientific interest in e-learning environments. As widely documented, online students have a much higher chance of dropping out than those attending conventional classrooms. It is of paramount interest for instituti...
@article{DBLP:journals/csur/PrenkajVSDF20, author = {Bardh Prenkaj and Paola Velardi and Giovanni Stilo and Damiano Distante and Stefano Faralli 0001}, title = {A Survey of Machine Learning Approaches for Student Dropout Prediction...
2376950
journals/csur/DabreCK20
A Survey of Multilingual Neural Machine Translation.
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
99:1-99:38
https://dblp.org/rec/journals/csur/DabreCK20
https://doi.org/10.1145/3406095
. MNMT is more promising and interesting than its statistical machine translation counterpart, because end-to-end modeling and distributed representations open new avenues for research on machine translation. Many approaches have been proposed to exploit multilingual parallel corpora for improving translation quality. ...
@article{DBLP:journals/csur/DabreCK20, author = {Raj Dabre and Chenhui Chu and Anoop Kunchukuttan}, title = {A Survey of Multilingual Neural Machine Translation.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {99...
2377034
journals/csur/WeisenburgerWS20
A Survey of Multitier Programming.
Pascal Weisenburger, Johannes Wirth 0002, Guido Salvaneschi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
81:1-81:35
https://dblp.org/rec/journals/csur/WeisenburgerWS20
https://doi.org/10.1145/3397495
Multitier programming deals with developing the components that pertain to different tiers in the system (e.g., client and server), mixing them in the same compilation unit. In this paradigm, the code for different tiers is then either generated at run time or it results from the compiler splitting the codebase into co...
@article{DBLP:journals/csur/WeisenburgerWS20, author = {Pascal Weisenburger and Johannes Wirth 0002 and Guido Salvaneschi}, title = {A Survey of Multitier Programming.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {4}, pages ...
2376922
journals/csur/AlamSLLKBNW20
A Survey of Network Virtualization Techniques for Internet of Things Using SDN and NFV.
Iqbal Alam, Kashif Sharif, Fan Li 0001, Zohaib Latif, Md. Monjurul Karim, Sujit Biswas, Boubakr Nour, Yu Wang 0003
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
35:1-35:40
https://dblp.org/rec/journals/csur/AlamSLLKBNW20
https://doi.org/10.1145/3379444
Internet of Things (IoT) and Network Softwarization are fast becoming core technologies of information systems and network management for the next-generation Internet. The deployment and applications of IoT range from smart cities to urban computing and from ubiquitous healthcare to tactile Internet. For this reason, t...
@article{DBLP:journals/csur/AlamSLLKBNW20, author = {Iqbal Alam and Kashif Sharif and Fan Li 0001 and Zohaib Latif and Md. Monjurul Karim and Sujit Biswas and Boubakr Nour and Yu Wang 00...
2376987
journals/csur/LupaTCB20
A Survey of Ontologies for Simultaneous Localization and Mapping in Mobile Robots.
Maria Alejandra Cornejo-Lupa, Regina P. Ticona-Herrera, Yudith Cardinale, Dennis Barrios-Aranibar
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
103:1-103:26
https://dblp.org/rec/journals/csur/LupaTCB20
https://doi.org/10.1145/3408316
Autonomous robots are playing important roles in academic, technological, and scientific activities. Thus, their behavior is getting more complex, particularly, in tasks related to mapping an environment and localizing themselves. These tasks comprise the Simultaneous Localization and Mapping (SLAM) problem. Representa...
@article{DBLP:journals/csur/LupaTCB20, author = {Maria Alejandra Cornejo-Lupa and Regina P. Ticona-Herrera and Yudith Cardinale and Dennis Barrios-Aranibar}, title = {A Survey of Ontologies for Simultaneous Localization and Mapping in Mobile Robots....
2376947
journals/csur/CongXWL20
A Survey of Profit Optimization Techniques for Cloud Providers.
Peijin Cong, Guo Xu, Tongquan Wei, Keqin Li 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
26:1-26:35
https://dblp.org/rec/journals/csur/CongXWL20
https://doi.org/10.1145/3376917
As the demand for computing resources grows, cloud computing becomes more and more popular as a pay-as-you-go model, in which the computing resources and services are provided to cloud users efficiently. For cloud providers, the typical goal is to maximize their profits. However, maximizing profits in a highly competit...
@article{DBLP:journals/csur/CongXWL20, author = {Peijin Cong and Guo Xu and Tongquan Wei and Keqin Li 0001}, title = {A Survey of Profit Optimization Techniques for Cloud Providers.}, journal = {ACM Comput. Surv.}, volume = {53}, nu...
2377025
journals/csur/UpretyGS20
A Survey of Quantum Theory Inspired Approaches to Information Retrieval.
Sagar Uprety, Dimitris Gkoumas, Dawei Song 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
98:1-98:39
https://dblp.org/rec/journals/csur/UpretyGS20
https://doi.org/10.1145/3402179
Since 2004, researchers have been using the mathematical framework of quantum theory in information retrieval (IR). Quantum theory offers a generalized probability and logic framework. Such a framework has been shown to be capable of unifying the representation, ranking, and user cognitive aspects of IR, and helpful in...
@article{DBLP:journals/csur/UpretyGS20, author = {Sagar Uprety and Dimitris Gkoumas and Dawei Song 0001}, title = {A Survey of Quantum Theory Inspired Approaches to Information Retrieval.}, journal = {ACM Comput. Surv.}, volume = {53}, number =...
2376966
journals/csur/HerodotouCL20
A Survey on Automatic Parameter Tuning for Big Data Processing Systems.
Herodotos Herodotou, Yuxing Chen 0003, Jiaheng Lu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
43:1-43:37
https://dblp.org/rec/journals/csur/HerodotouCL20
https://doi.org/10.1145/3381027
Big data processing systems (e.g., Hadoop, Spark, Storm) contain a vast number of configuration parameters controlling parallelism, I/O behavior, memory settings, and compression. Improper parameter settings can cause significant performance degradation and stability issues. However, regular users and even expert admin...
@article{DBLP:journals/csur/HerodotouCL20, author = {Herodotos Herodotou and Yuxing Chen 0003 and Jiaheng Lu}, title = {A Survey on Automatic Parameter Tuning for Big Data Processing Systems.}, journal = {ACM Comput. Surv.}, volume = {53}, number ...
2377031
journals/csur/WangY20
A Survey on Bayesian Deep Learning.
Hao Wang 0014, Dit-Yan Yeung
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
108:1-108:37
https://dblp.org/rec/journals/csur/WangY20
https://doi.org/10.1145/3409383
A comprehensive artificial intelligence system needs to not only perceive the environment with different “senses” (e.g., seeing and hearing) but also infer the world’s conditional (or even causal) relations and corresponding uncertainty. The past decade has seen major advances in many perception tasks, such as visual o...
@article{DBLP:journals/csur/WangY20, author = {Hao Wang 0014 and Dit-Yan Yeung}, title = {A Survey on Bayesian Deep Learning.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {108:1--108:37}, year = {2021}, url ...
2377007
journals/csur/RaiC20
A Survey on Computational Metaphor Processing.
Sunny Rai, Shampa Chakraverty
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
24:1-24:37
https://dblp.org/rec/journals/csur/RaiC20
https://doi.org/10.1145/3373265
In the last decade, the problem of computational metaphor processing has garnered immense attention from the domains of computational linguistics and cognition. A wide panorama of approaches, ranging from a hand-coded rule system to deep learning techniques, have been proposed to automate different aspects of metaphor ...
@article{DBLP:journals/csur/RaiC20, author = {Sunny Rai and Shampa Chakraverty}, title = {A Survey on Computational Metaphor Processing.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {2}, pages = {24:1--24:37}, year = {2021}, url ...
2376996
journals/csur/NgamakeurYYR20
A Survey on Device-free Indoor Localization and Tracking in the Multi-resident Environment.
Kan Ngamakeur, Sira Yongchareon, Jian Yu 0002, Saeed Ur Rehman
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
71:1-71:29
https://dblp.org/rec/journals/csur/NgamakeurYYR20
https://doi.org/10.1145/3396302
Indoor device-free localization and tracking can bring both convenience and privacy to users compared with traditional solutions such as camera-based surveillance and RFID tag-based tracking. Technologies such as Wi-Fi, wireless sensor, and infrared have been used to localize and track people living in care homes and o...
@article{DBLP:journals/csur/NgamakeurYYR20, author = {Kan Ngamakeur and Sira Yongchareon and Jian Yu 0002 and Saeed Ur Rehman}, title = {A Survey on Device-free Indoor Localization and Tracking in the Multi-resident Environment.}, journal = {...
2377027
journals/csur/VerbraekenWKKVR20
A Survey on Distributed Machine Learning.
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
30:1-30:33
https://dblp.org/rec/journals/csur/VerbraekenWKKVR20
https://doi.org/10.1145/3377454
The demand for artificial intelligence has grown significantly over the past decade, and this growth has been fueled by advances in machine learning techniques and the ability to leverage hardware acceleration. However, to increase the quality of predictions and render machine learning solutions feasible for more compl...
@article{DBLP:journals/csur/VerbraekenWKKVR20, author = {Joost Verbraeken and Matthijs Wolting and Jonathan Katzy and Jeroen Kloppenburg and Tim Verbelen and Jan S. Rellermeyer}, title = {A Survey on Distributed M...
2376926
journals/csur/Alvarez-GarciaC20
A Survey on Energy Expenditure Estimation Using Wearable Devices.
Juan Antonio Álvarez-García, Bozidara Cvetkovic, Mitja Lustrek
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
91:1-91:35
https://dblp.org/rec/journals/csur/Alvarez-GarciaC20
https://doi.org/10.1145/3404482
Human Energy Expenditure (EE) is a valuable tool for measuring physical activity and its impact on our body in an objective way. To accurately measure the EE, there are methods such as doubly labeled water and direct and indirect calorimetry, but their cost and practical limitations make them suitable only for research...
@article{DBLP:journals/csur/Alvarez-GarciaC20, author = {Juan Antonio Álvarez-García and Bozidara Cvetkovic and Mitja Lustrek}, title = {A Survey on Energy Expenditure Estimation Using Wearable Devices.}, journal = {ACM Comput. Surv.}, volume = {53}, ...
2376941
journals/csur/ChenPNX20
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses.
Huashan Chen, Marcus Pendleton, Laurent Njilla, Shouhuai Xu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
67:1-67:43
https://dblp.org/rec/journals/csur/ChenPNX20
https://doi.org/10.1145/3391195
Blockchain technology is believed by many to be a game changer in many application domains. While the first generation of blockchain technology (i.e., Blockchain 1.0) is almost exclusively used for cryptocurrency, the second generation (i.e., Blockchain 2.0), as represented by Ethereum, is an open and decentralized pla...
@article{DBLP:journals/csur/ChenPNX20, author = {Huashan Chen and Marcus Pendleton and Laurent Njilla and Shouhuai Xu}, title = {A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses.}, journal = {ACM Comput. Surv.}, ...
2376951
journals/csur/DasSM20
A Survey on Fuzzy Deep Neural Networks.
Rangan Das, Sagnik Sen 0002, Ujjwal Maulik
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
54:1-54:25
https://dblp.org/rec/journals/csur/DasSM20
https://doi.org/10.1145/3369798
Deep neural networks are a class of powerful machine learning model that uses successive layers of non-linear processing units to extract features from data. However, the training process of such networks is quite computationally intensive and uses commonly used optimization methods that do not guarantee optimum perfor...
@article{DBLP:journals/csur/DasSM20, author = {Rangan Das and Sagnik Sen 0002 and Ujjwal Maulik}, title = {A Survey on Fuzzy Deep Neural Networks.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {3}, pages = {54:1--54:25}, y...
2377009
journals/csur/RathoreLZJX21
A Survey on Heart Biometrics.
Aditya Singh Rathore, Zhengxiong Li, Weijin Zhu, Zhanpeng Jin, Wenyao Xu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
114:1-114:38
https://dblp.org/rec/journals/csur/RathoreLZJX21
https://doi.org/10.1145/3410158
In recent years, biometrics (e.g., fingerprint or face recognition) has replaced traditional passwords and PINs as a widely used method for user authentication, particularly in personal or mobile devices. Differing from state-of-the-art biometrics, heart biometrics offer the advantages of liveness detection, which prov...
@article{DBLP:journals/csur/RathoreLZJX21, author = {Aditya Singh Rathore and Zhengxiong Li and Weijin Zhu and Zhanpeng Jin and Wenyao Xu}, title = {A Survey on Heart Biometrics.}, journal = {ACM Comput. Surv.}, volume ...
2376929
journals/csur/BansalCC21
A Survey on IoT Big Data: Current Status, 13 V's Challenges, and Future Directions.
Maggi Bansal, Inderveer Chana, Siobhán Clarke
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
131:1-131:59
https://dblp.org/rec/journals/csur/BansalCC21
https://doi.org/10.1145/3419634
Driven by the core technologies, i.e., sensor-based autonomous data acquisition and the cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions on the connected objects. This automation enables numerous useful real-life use-cases, such as smart transport, smart living, smart cities...
@article{DBLP:journals/csur/BansalCC21, author = {Maggi Bansal and Inderveer Chana and Siobhán Clarke}, title = {A Survey on IoT Big Data: Current Status, 13 V's Challenges, and Future Directions.}, journal = {ACM Comput. Surv.}, volume = {53}, numbe...
2376980
journals/csur/LiLN20
A Survey on Renamings of Software Entities.
Guangjie Li, Hui Liu 0003, Ally S. Nyamawe
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
41:1-41:38
https://dblp.org/rec/journals/csur/LiLN20
https://doi.org/10.1145/3379443
More than 70% of characters in the source code are used to label identifiers. Consequently, identifiers are one of the most important source for program comprehension. Meaningful identifiers are crucial to understand and maintain programs. However, for reasons like constrained schedule, inexperience, and unplanned evol...
@article{DBLP:journals/csur/LiLN20, author = {Guangjie Li and Hui Liu 0003 and Ally S. Nyamawe}, title = {A Survey on Renamings of Software Entities.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {2}, pages = {41:1--41:38}, ...
2377030
journals/csur/WangJYFPY20
A Survey on Trust Evaluation Based on Machine Learning.
Jingwen Wang, Xuyang Jing, Zheng Yan 0002, Yulong Fu, Witold Pedrycz, Laurence T. Yang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
107:1-107:36
https://dblp.org/rec/journals/csur/WangJYFPY20
https://doi.org/10.1145/3408292
Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces a number of severe issues such as lack of essential evaluation data, demand of big data process, request of simple trust relationship expression, and expectation of automation. In order to overcome these problems and int...
@article{DBLP:journals/csur/WangJYFPY20, author = {Jingwen Wang and Xuyang Jing and Zheng Yan 0002 and Yulong Fu and Witold Pedrycz and Laurence T. Yang}, title = {A Survey on Trust Evaluation Based on Machine Lea...
2376981
journals/csur/LinSWLWM20
A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers.
Weiwei Lin 0001, Fang Shi, Wentai Wu, Keqin Li 0001, Guangxin Wu, Al-Alas Mohammed
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
100:1-100:41
https://dblp.org/rec/journals/csur/LinSWLWM20
https://doi.org/10.1145/3406208
Due to the increasing demand of cloud resources, the ever-increasing number and scale of cloud data centers make their massive power consumption a prominent issue today. Evidence reveals that the behaviors of cloud servers make the major impact on data centers’ power consumption. Although extensive research can be foun...
@article{DBLP:journals/csur/LinSWLWM20, author = {Weiwei Lin 0001 and Fang Shi and Wentai Wu and Keqin Li 0001 and Guangxin Wu and Al-Alas Mohammed}, title = {A Taxonomy and Survey of Power Models and Power Modeli...
2377021
journals/csur/SuabootFTGMAZD20
A Taxonomy of Supervised Learning for IDSs in SCADA Environments.
Jakapan Suaboot, Adil Fahad, Zahir Tari, John C. Grundy, Abdun Naser Mahmood, Abdulmohsen Almalawi, Albert Y. Zomaya, Khalil Drira
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
40:1-40:37
https://dblp.org/rec/journals/csur/SuabootFTGMAZD20
https://doi.org/10.1145/3379499
Supervisory Control and Data Acquisition (SCADA) systems play an important role in monitoring industrial processes such as electric power distribution, transport systems, water distribution, and wastewater collection systems. Such systems require a particular attention with regards to security aspects, as they deal wit...
@article{DBLP:journals/csur/SuabootFTGMAZD20, author = {Jakapan Suaboot and Adil Fahad and Zahir Tari and John C. Grundy and Abdun Naser Mahmood and Abdulmohsen Almalawi and Albert Y. Zomaya and ...
2377015
journals/csur/SerbanPV20
Adversarial Examples on Object Recognition: A Comprehensive Survey.
Alexandru Constantin Serban, Erik Poll, Joost Visser 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
66:1-66:38
https://dblp.org/rec/journals/csur/SerbanPV20
https://doi.org/10.1145/3398394
Deep neural networks are at the forefront of machine learning research. However, despite achieving impressive performance on complex tasks, they can be very sensitive: Small perturbations of inputs can be sufficient to induce incorrect behavior. Such perturbations, called adversarial examples, are intentionally designe...
@article{DBLP:journals/csur/SerbanPV20, author = {Alexandru Constantin Serban and Erik Poll and Joost Visser 0001}, title = {Adversarial Examples on Object Recognition: A Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume = {53}, number ...
2376945
journals/csur/ChristophidesEP21
An Overview of End-to-End Entity Resolution for Big Data.
Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis 0001, Kostas Stefanidis
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
127:1-127:42
https://dblp.org/rec/journals/csur/ChristophidesEP21
https://doi.org/10.1145/3418896
One of the most critical tasks for improving data quality and increasing the reliability of data analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to the same real-world entity. Despite several decades of research, ER remains a challenging problem. In this survey, we highligh...
@article{DBLP:journals/csur/ChristophidesEP21, author = {Vassilis Christophides and Vasilis Efthymiou and Themis Palpanas and George Papadakis 0001 and Kostas Stefanidis}, title = {An Overview of End-to-End Entity Resolution for Bi...
2377044
journals/csur/ZhangSVMYVP20
An Overview of Hardware Implementation of Membrane Computing Models.
Gexiang Zhang, Zeyi Shang, Sergey Verlan, Miguel Ángel Martínez-del-Amor, Chengxun Yuan, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
90:1-90:38
https://dblp.org/rec/journals/csur/ZhangSVMYVP20
https://doi.org/10.1145/3402456
The model of membrane computing, also known under the name of P systems, is a bio-inspired large-scale parallel computing paradigm having a good potential for the design of massively parallel algorithms. For its implementation it is very natural to choose hardware platforms that have important inherent parallelism, suc...
@article{DBLP:journals/csur/ZhangSVMYVP20, author = {Gexiang Zhang and Zeyi Shang and Sergey Verlan and Miguel Ángel Martínez-del-Amor and Chengxun Yuan and Luis Valencia-Cabrera and Mario J. Pérez-Jiméne...
2376918
journals/csur/Ait-SalahtDL20
An Overview of Service Placement Problem in Fog and Edge Computing.
Farah Aït-Salaht, Frédéric Desprez, Adrien Lebre
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
65:1-65:35
https://dblp.org/rec/journals/csur/Ait-SalahtDL20
https://doi.org/10.1145/3391196
To support the large and various applications generated by the Internet of Things (IoT), Fog Computing was introduced to complement the Cloud Computing and offer Cloud-like services at the edge of the network with low latency and real-time responses. Large-scale, geographical distribution, and heterogeneity of edge com...
@article{DBLP:journals/csur/Ait-SalahtDL20, author = {Farah Aït-Salaht and Frédéric Desprez and Adrien Lebre}, title = {An Overview of Service Placement Problem in Fog and Edge Computing.}, journal = {ACM Comput. Surv.}, volume = {53}, number =...
2376976
journals/csur/KumaranDR21
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey.
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
119:1-119:26
https://dblp.org/rec/journals/csur/KumaranDR21
https://doi.org/10.1145/3417989
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. Timely detection of traffic violations and abnormal behavior of pedestrians at public places through computer vision and visual surveillance can be highly effective for maintaining traffic order in ...
@article{DBLP:journals/csur/KumaranDR21, author = {Santhosh Kelathodi Kumaran and Debi Prosad Dogra and Partha Pratim Roy 0001}, title = {Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey.}, journal = {ACM Comput. Surv.}, volume = {...
2377000
journals/csur/PekarMSZ20
Application Domain-Based Overview of IoT Network Traffic Characteristics.
Adrián Pekár, Jozef Mocnej, Winston K. G. Seah, Iveta Zolotová
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
87:1-87:33
https://dblp.org/rec/journals/csur/PekarMSZ20
https://doi.org/10.1145/3399669
Over the past decade, the Internet of Things (IoT) has advanced rapidly. New technologies have been proposed and existing approaches optimised to meet user, society and industry requirements. However, as the complexity and heterogeneity of the traffic that flows through the networks are continuously growing, the innova...
@article{DBLP:journals/csur/PekarMSZ20, author = {Adrián Pekár and Jozef Mocnej and Winston K. G. Seah and Iveta Zolotová}, title = {Application Domain-Based Overview of IoT Network Traffic Characteristics.}, journal = {ACM Comput. Surv.}, ...
2376989
journals/csur/MahmudRB20
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions.
Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
88:1-88:43
https://dblp.org/rec/journals/csur/MahmudRB20
https://doi.org/10.1145/3403955
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart environments in various domains. The IoT-enabled cyber-physical systems associated with smart city, healthcare, Industry 4.0 and Agtech handle a huge volume of data and require data processing services from different types of appli...
@article{DBLP:journals/csur/MahmudRB20, author = {Md. Redowan Mahmud and Kotagiri Ramamohanarao and Rajkumar Buyya}, title = {Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions.}, journal = {ACM Comput. Surv.}, vol...
2377014
journals/csur/SequeirosCSFI20
Attack and System Modeling Applied to IoT, Cloud, and Mobile Ecosystems: Embedding Security by Design.
João B. F. Sequeiros, Francisco T. Chimuco, Musa G. Samaila, Mário M. Freire, Pedro R. M. Inácio
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
25:1-25:32
https://dblp.org/rec/journals/csur/SequeirosCSFI20
https://doi.org/10.1145/3376123
Over the years, pervasive computing and communication technologies have enabled the emergence of new computing paradigms that have gained importance across a wide spectrum of domains. The three most notable that have witnessed significant advancements and have a solid track record of exponential growth in diverse appli...
@article{DBLP:journals/csur/SequeirosCSFI20, author = {João B. F. Sequeiros and Francisco T. Chimuco and Musa G. Samaila and Mário M. Freire and Pedro R. M. Inácio}, title = {Attack and System Modeling Applied to IoT, Cloud, and Mo...
2376916
journals/csur/0002DXSL020
Attribute-based Encryption for Cloud Computing Access Control: A Survey.
Yinghui Zhang 0002, Robert H. Deng, Shengmin Xu, Jianfei Sun, Qi Li 0011, Dong Zheng 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
83:1-83:41
https://dblp.org/rec/journals/csur/0002DXSL020
https://doi.org/10.1145/3398036
Attribute-based encryption (ABE) for cloud computing access control is reviewed in this article. A taxonomy and comprehensive assessment criteria of ABE are first proposed. In the taxonomy, ABE schemes are assorted into key-policy ABE (KP-ABE) schemes, ciphertext-policy ABE (CP-ABE) schemes, anti-quantum ABE schemes, a...
@article{DBLP:journals/csur/0002DXSL020, author = {Yinghui Zhang 0002 and Robert H. Deng and Shengmin Xu and Jianfei Sun and Qi Li 0011 and Dong Zheng 0001}, title = {Attribute-based Encryption for Cloud Computing...
2377038
journals/csur/YasudaMC20
Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review.
Yuri D. V. Yasuda, Luiz Eduardo Galvão Martins, Fabio A. M. Cappabianco
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
13:1-13:34
https://dblp.org/rec/journals/csur/YasudaMC20
https://doi.org/10.1145/3368961
Autonomous mobile robots are required to move throughout map the environment, locate themselves, and plan paths between positions. Vision stands out among the other senses for its richness and practicality. Even though there are well-established autonomous navigation solutions, as far as we can tell, no complete autono...
@article{DBLP:journals/csur/YasudaMC20, author = {Yuri D. V. Yasuda and Luiz Eduardo Galvão Martins and Fabio A. M. Cappabianco}, title = {Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review.}, journal = {ACM Comput. Surv.}, volume...
2376952
journals/csur/DavoudianL20
Big Data Systems: A Software Engineering Perspective.
Ali Davoudian, Mengchi Liu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
110:1-110:39
https://dblp.org/rec/journals/csur/DavoudianL20
https://doi.org/10.1145/3408314
Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby massive amounts of heterogeneous data are gathered from multiple sources, managed, analyzed (in batch, stream or hybrid fashion), and served to end-users and external applications. Such systems pose specific challenges in all phases...
@article{DBLP:journals/csur/DavoudianL20, author = {Ali Davoudian and Mengchi Liu}, title = {Big Data Systems: A Software Engineering Perspective.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {110:1--110:39}, year = {2...
2376974
journals/csur/KritikakouPCS20
Binary Tree Classification of Rigid Error Detection and Correction Techniques.
Angeliki Kritikakou, Rafail Psiakis, Francky Catthoor, Olivier Sentieys
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
76:1-76:38
https://dblp.org/rec/journals/csur/KritikakouPCS20
https://doi.org/10.1145/3397268
Due to technology scaling and harsh environments, a wide range of fault-tolerant techniques exists to deal with the error occurrences. Selecting a fault-tolerant technique is not trivial, whereas more than the necessary overhead is usually inserted during the system design. To avoid over-designing, it is necessary to h...
@article{DBLP:journals/csur/KritikakouPCS20, author = {Angeliki Kritikakou and Rafail Psiakis and Francky Catthoor and Olivier Sentieys}, title = {Binary Tree Classification of Rigid Error Detection and Correction Techniques.}, journal = {ACM...
2376972
journals/csur/KhanPGLM20
Biometric Systems Utilising Health Data from Wearable Devices: Applications and Future Challenges in Computer Security.
Saad Khan 0001, Simon Parkinson, Liam Grant, Na Liu, Stephen McGuire
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
85:1-85:29
https://dblp.org/rec/journals/csur/KhanPGLM20
https://doi.org/10.1145/3400030
Health data are being increasingly sensed from the health-based wearable Internet of Things (IoT) devices, providing much-needed fitness and health tracking. However, data generated also present opportunities within computer security, specifically with biometric systems used for identification and authentication purpos...
@article{DBLP:journals/csur/KhanPGLM20, author = {Saad Khan 0001 and Simon Parkinson and Liam Grant and Na Liu and Stephen McGuire}, title = {Biometric Systems Utilising Health Data from Wearable Devices: Applications and Future Ch...
2377016
journals/csur/SharmaJM20
Blockchain Technology for Cloud Storage: A Systematic Literature Review.
Pratima Sharma, Rajni Jindal, Dutta Borah Malaya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
89:1-89:32
https://dblp.org/rec/journals/csur/SharmaJM20
https://doi.org/10.1145/3403954
The demand for Blockchain innovation and the significance of its application has inspired ever-progressing exploration in various scientific and practical areas. Even though it is still in the initial testing stage, the blockchain is being viewed as a progressive solution to address present-day technology concerns, suc...
@article{DBLP:journals/csur/SharmaJM20, author = {Pratima Sharma and Rajni Jindal and Dutta Borah Malaya}, title = {Blockchain Technology for Cloud Storage: A Systematic Literature Review.}, journal = {ACM Comput. Surv.}, volume = {53}, number ...
2376937
journals/csur/ButijnTH20
Blockchains: A Systematic Multivocal Literature Review.
Bert-Jan Butijn, Damian A. Tamburri, Willem-Jan van den Heuvel
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
61:1-61:37
https://dblp.org/rec/journals/csur/ButijnTH20
https://doi.org/10.1145/3369052
Blockchain technology has gained tremendous popularity both in practice and academia. The goal of this article is to develop a coherent overview of the state of the art in blockchain technology, using a systematic (i.e., protocol-based, replicable), multivocal (i.e., featuring both white and grey literature alike) lite...
@article{DBLP:journals/csur/ButijnTH20, author = {Bert-Jan Butijn and Damian A. Tamburri and Willem-Jan van den Heuvel}, title = {Blockchains: A Systematic Multivocal Literature Review.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {...
2376997
journals/csur/PapadakisSTP20
Blocking and Filtering Techniques for Entity Resolution: A Survey.
George Papadakis 0001, Dimitrios Skoutas 0001, Emmanouil Thanos, Themis Palpanas
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
31:1-31:42
https://dblp.org/rec/journals/csur/PapadakisSTP20
https://doi.org/10.1145/3377455
Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that correspond to the same real-world object. Due to its inherently quadratic complexity, a series of techniques accelerate it so that it scales to voluminous data. In this survey, we review a large number of relevant works unde...
@article{DBLP:journals/csur/PapadakisSTP20, author = {George Papadakis 0001 and Dimitrios Skoutas 0001 and Emmanouil Thanos and Themis Palpanas}, title = {Blocking and Filtering Techniques for Entity Resolution: A Survey.}, journal = {ACM Com...
2377040
journals/csur/YuGLLWLW20
Causality-based Feature Selection: Methods and Evaluations.
Kui Yu, Xianjie Guo, Lin Liu 0003, Jiuyong Li, Hao Wang 0008, Zhaolong Ling, Xindong Wu 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
111:1-111:36
https://dblp.org/rec/journals/csur/YuGLLWLW20
https://doi.org/10.1145/3409382
Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between predictive features and the class variable and do not attempt to capture causal relationships between them. It has been shown that the knowle...
@article{DBLP:journals/csur/YuGLLWLW20, author = {Kui Yu and Xianjie Guo and Lin Liu 0003 and Jiuyong Li and Hao Wang 0008 and Zhaolong Ling and Xindong Wu 0001}, title = {Causality-based Feature...
2376990
journals/csur/Mallawaarachchi20
Change Detection and Notification of Web Pages: A Survey.
Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Madhushanka, Eranga Heshan, Dulani Meedeniya, Sampath Jayarathna
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
15:1-15:35
https://dblp.org/rec/journals/csur/Mallawaarachchi20
https://doi.org/10.1145/3369876
The majority of currently available webpages are dynamic in nature and are changing frequently. New content gets added to webpages, and existing content gets updated or deleted. Hence, people find it useful to be alert for changes in webpages that contain information that is of value to them. In the current context, ke...
@article{DBLP:journals/csur/Mallawaarachchi20, author = {Vijini Mallawaarachchi and Lakmal Meegahapola and Roshan Madhushanka and Eranga Heshan and Dulani Meedeniya and Sampath Jayarathna}, title = {Change Detecti...
2376921
journals/csur/AlacaO20
Comparative Analysis and Framework Evaluating Web Single Sign-on Systems.
Furkan Alaca, Paul C. van Oorschot
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
112:1-112:34
https://dblp.org/rec/journals/csur/AlacaO20
https://doi.org/10.1145/3409452
We perform a comprehensive analysis and comparison of 14 web single sign-on (SSO) systems proposed and/or deployed over the past decade, including federated identity and credential/password management schemes. We identify common design properties and use them to develop a taxonomy for SSO schemes, highlighting the asso...
@article{DBLP:journals/csur/AlacaO20, author = {Furkan Alaca and Paul C. van Oorschot}, title = {Comparative Analysis and Framework Evaluating Web Single Sign-on Systems.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {112:1--112:...
2376932
journals/csur/BoukercheS20
Computation Offloading and Retrieval for Vehicular Edge Computing: Algorithms, Models, and Classification.
Azzedine Boukerche, Victor Soto
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
80:1-80:35
https://dblp.org/rec/journals/csur/BoukercheS20
https://doi.org/10.1145/3392064
The rapid evolution of mobile devices, their applications, and the amount of data generated by them causes a significant increase in bandwidth consumption and congestions in the network core. Edge Computing offers a solution to these performance drawbacks by extending the cloud paradigm to the edge of the network using...
@article{DBLP:journals/csur/BoukercheS20, author = {Azzedine Boukerche and Victor Soto}, title = {Computation Offloading and Retrieval for Vehicular Edge Computing: Algorithms, Models, and Classification.}, journal = {ACM Comput. Surv.}, volume = {53}, number = ...
2376940
journals/csur/ChatterjeeR20
Computational Sustainability: A Socio-technical Perspective.
Deya Chatterjee, Shrisha Rao 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
101:1-101:29
https://dblp.org/rec/journals/csur/ChatterjeeR20
https://doi.org/10.1145/3409797
This is a consolidated look at computational techniques for sustainability, and their limits and possibilities. Sustainability is already well established as a concern and a topic of study and practice, given the alarming increase of environmental degradation, pollution, and other adverse effects of industrialization a...
@article{DBLP:journals/csur/ChatterjeeR20, author = {Deya Chatterjee and Shrisha Rao 0001}, title = {Computational Sustainability: A Socio-technical Perspective.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages = {101:1--101:29}, ye...
2377012
journals/csur/SahinSMG20
Computer-Generated Holograms for 3D Imaging: A Survey.
Erdem Sahin, Elena Stoykova, Jani Mäkinen, Atanas P. Gotchev
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
32:1-32:35
https://dblp.org/rec/journals/csur/SahinSMG20
https://doi.org/10.1145/3378444
Holography is usually considered as the ultimate way to visually reproduce a three-dimensional scene. Computer-generated holography constitutes an important branch of holography, which enables visualization of artificially generated scenes as well as real three-dimensional scenes recorded under white-light illumination...
@article{DBLP:journals/csur/SahinSMG20, author = {Erdem Sahin and Elena Stoykova and Jani Mäkinen and Atanas P. Gotchev}, title = {Computer-Generated Holograms for 3D Imaging: A Survey.}, journal = {ACM Comput. Surv.}, volume = {53}, ...
2376968
journals/csur/IsmailM20
Computing Server Power Modeling in a Data Center: Survey, Taxonomy, and Performance Evaluation.
Leila Ismail, Huned Materwala
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
58:1-58:34
https://dblp.org/rec/journals/csur/IsmailM20
https://doi.org/10.1145/3390605
Data centers are large-scale, energy-hungry infrastructure serving the increasing computational demands as the world is becoming more connected in smart cities. The emergence of advanced technologies such as cloud-based services, internet of things (IoT), and big data analytics has augmented the growth of global data c...
@article{DBLP:journals/csur/IsmailM20, author = {Leila Ismail and Huned Materwala}, title = {Computing Server Power Modeling in a Data Center: Survey, Taxonomy, and Performance Evaluation.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {3}, pages ...
2377048
journals/csur/ZolfaghariSRNAK20
Content Delivery Networks: State of the Art, Trends, and Future Roadmap.
Behrouz Zolfaghari, Gautam Srivastava 0001, Swapnoneel Roy, Hamid R. Nemati, Fatemeh Afghah, Takeshi Koshiba, Abolfazl Razi, Khodakhast Bibak, Pinaki Mitra, Brijesh Kumar Rai
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
34:1-34:34
https://dblp.org/rec/journals/csur/ZolfaghariSRNAK20
https://doi.org/10.1145/3380613
Recently, Content Delivery Networks (CDN) have become more and more popular. The technology itself is ahead of academic research in this area. Several dimensions of the technology have not been adequately investigated by academia. These dimensions include outline management, security, and standardization. Discovering a...
@article{DBLP:journals/csur/ZolfaghariSRNAK20, author = {Behrouz Zolfaghari and Gautam Srivastava 0001 and Swapnoneel Roy and Hamid R. Nemati and Fatemeh Afghah and Takeshi Koshiba and Abolfazl Razi and ...
2376985
journals/csur/Lucas20
Context-sensitive Rewriting.
Salvador Lucas
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
78:1-78:36
https://dblp.org/rec/journals/csur/Lucas20
https://doi.org/10.1145/3397677
The appropriate selection of the arguments of functions that can be evaluated in function calls is often useful to improve efficiency, speed, termination behavior, and so on. This is essential, e.g., in the conditional if - then - else operator. We can specify this by associating a set μ(f) of indices of evaluable argu...
@article{DBLP:journals/csur/Lucas20, author = {Salvador Lucas}, title = {Context-sensitive Rewriting.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {4}, pages = {78:1--78:36}, year = {2021}, url = {https://doi.org/10.1145/3397677}, doi ...
2376973
journals/csur/KolbAKC20
Core Concepts, Challenges, and Future Directions in Blockchain: A Centralized Tutorial.
John Kolb, Moustafa AbdelBaky, Randy H. Katz, David E. Culler
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
9:1-9:39
https://dblp.org/rec/journals/csur/KolbAKC20
https://doi.org/10.1145/3366370
Blockchains are a topic of immense interest in academia and industry, but their true nature is often obscured by marketing and hype. In this tutorial, we explain the fundamental elements of blockchains. We discuss their ability to achieve availability, consistency, and data integrity as well as their inherent limitatio...
@article{DBLP:journals/csur/KolbAKC20, author = {John Kolb and Moustafa AbdelBaky and Randy H. Katz and David E. Culler}, title = {Core Concepts, Challenges, and Future Directions in Blockchain: A Centralized Tutorial.}, journal = {ACM Comput...
2376960
journals/csur/FanLZJB20
Decentralized Trust Management: Risk Analysis and Trust Aggregation.
Xinxin Fan, Ling Liu 0001, Rui Zhang 0016, Quanliang Jing, Jingping Bi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
2:1-2:33
https://dblp.org/rec/journals/csur/FanLZJB20
https://doi.org/10.1145/3362168
Decentralized trust management is used as a referral benchmark for assisting decision making by human or intelligence machines in open collaborative systems. During any given period of time, each participant may only interact with a few other participants. Simply relying on direct trust may frequently resort to random ...
@article{DBLP:journals/csur/FanLZJB20, author = {Xinxin Fan and Ling Liu 0001 and Rui Zhang 0016 and Quanliang Jing and Jingping Bi}, title = {Decentralized Trust Management: Risk Analysis and Trust Aggregation.}, journal = ...
2376979
journals/csur/LeCB20
Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges.
Triet Huynh Minh Le, Hao Chen 0041, Muhammad Ali Babar 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
62:1-62:38
https://dblp.org/rec/journals/csur/LeCB20
https://doi.org/10.1145/3383458
Deep Learning (DL) techniques for Natural Language Processing have been evolving remarkably fast. Recently, the DL advances in language modeling, machine translation, and paragraph understanding are so prominent that the potential of DL in Software Engineering cannot be overlooked, especially in the field of program le...
@article{DBLP:journals/csur/LeCB20, author = {Triet Huynh Minh Le and Hao Chen 0041 and Muhammad Ali Babar 0001}, title = {Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges.}, journal = {ACM Comput. Surv.}, volume ...
2376943
journals/csur/ChenZZ0S020
Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions.
Yanjiao Chen, Baolin Zheng, Zihan Zhang, Qian Wang 0002, Chao Shen 0001, Qian Zhang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
84:1-84:37
https://dblp.org/rec/journals/csur/ChenZZ0S020
https://doi.org/10.1145/3398209
Recent years have witnessed an exponential increase in the use of mobile and embedded devices. With the great success of deep learning in many fields, there is an emerging trend to deploy deep learning on mobile and embedded devices to better meet the requirement of real-time applications and user privacy protection. H...
@article{DBLP:journals/csur/ChenZZ0S020, author = {Yanjiao Chen and Baolin Zheng and Zihan Zhang and Qian Wang 0002 and Chao Shen 0001 and Qian Zhang 0001}, title = {Deep Learning on Mobile and Embedded Devices: S...
2376983
journals/csur/LiuLLLW20
Deep Learning-Based Video Coding: A Review and a Case Study.
Dong Liu 0002, Yue Li 0015, Jianping Lin, Houqiang Li, Feng Wu 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
11:1-11:35
https://dblp.org/rec/journals/csur/LiuLLLW20
https://doi.org/10.1145/3368405
The past decade has witnessed the great success of deep learning in many disciplines, especially in computer vision and image processing. However, deep learning-based video coding remains in its infancy. We review the representative works about using deep learning for image/video coding, an actively developing research...
@article{DBLP:journals/csur/LiuLLLW20, author = {Dong Liu 0002 and Yue Li 0015 and Jianping Lin and Houqiang Li and Feng Wu 0001}, title = {Deep Learning-Based Video Coding: A Review and a Case Study.}, journal = {ACM Comput...
2376971
journals/csur/KhaderA20
Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study.
Mariam Khader, Ghazi Al-Naymat
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,021
unknown
93:1-93:38
https://dblp.org/rec/journals/csur/KhaderA20
https://doi.org/10.1145/3403951
Clustering is used to extract hidden patterns and similar groups from data. Therefore, clustering as a method of unsupervised learning is a crucial technique for big data analysis owing to the massive number of unlabeled objects involved. Density-based algorithms have attracted research interest, because they help to b...
@article{DBLP:journals/csur/KhaderA20, author = {Mariam Khader and Ghazi Al-Naymat}, title = {Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study.}, journal = {ACM Comput. Surv.}, volume = {53}, number = {5}, pages...