Volume 54, Issue 8November 2022
Bibliometrics
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A Survey on Generative Adversarial Networks: Variants, Applications, and Training
November 2022, Article No.: 157, pp 1–49https://doi.org/10.1145/3463475

The Generative Models have gained considerable attention in unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to their outstanding data generation capability. Many GAN models have been proposed, and ...

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A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
November 2022, Article No.: 158, pp 1–32https://doi.org/10.1145/3465398

The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the ...

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Open Access
Adversarial Perturbation Defense on Deep Neural Networks
November 2022, Article No.: 159, pp 1–36https://doi.org/10.1145/3465397

Deep neural networks (DNNs) have been verified to be easily attacked by well-designed adversarial perturbations. Image objects with small perturbations that are imperceptible to human eyes can induce DNN-based image class classifiers towards making ...

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Integrated Blockchain and Cloud Computing Systems: A Systematic Survey, Solutions, and Challenges
November 2022, Article No.: 160, pp 1–36https://doi.org/10.1145/3456628

Cloud computing is a network model of on-demand access for sharing configurable computing resource pools. Compared with conventional service architectures, cloud computing introduces new security challenges in secure service management and control, ...

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Open Access
Evolutionary Machine Learning: A Survey
November 2022, Article No.: 161, pp 1–35https://doi.org/10.1145/3467477

Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently ...

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A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling
November 2022, Article No.: 162, pp 1–36https://doi.org/10.1145/3466818

A central question in many fields of scientific research is to determine how an outcome is affected by an action, i.e., to estimate the causal effect or treatment effect of an action. In recent years, in areas such as personalised healthcare, sociology, ...

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Measuring Presence in Virtual Environments: A Survey
November 2022, Article No.: 163, pp 1–37https://doi.org/10.1145/3466817

The effectiveness of a virtual reality experience is strongly affected by the sense of presence of the users involved. This article reviews the different definitions of presence and the main proposed methods to measure it through the analysis of 1,214 ...

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Open Access
A Survey on End-User Robot Programming
November 2022, Article No.: 164, pp 1–36https://doi.org/10.1145/3466819

As robots interact with a broader range of end-users, end-user robot programming has helped democratize robot programming by empowering end-users who may not have experience in robot programming to customize robots to meet their individual contextual ...

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Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future Challenges
November 2022, Article No.: 165, pp 1–38https://doi.org/10.1145/3467963

Interaction design for Augmented Reality (AR) is gaining attention from both academia and industry. This survey discusses 260 articles (68.8% of articles published between 2015–2019) to review the field of human interaction in connected cities with ...

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Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey
November 2022, Article No.: 166, pp 1–36https://doi.org/10.1145/3468266

The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This ...

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Data Analytics for Air Travel Data: A Survey and New Perspectives
November 2022, Article No.: 167, pp 1–35https://doi.org/10.1145/3469028

From the start, the airline industry has remarkably connected countries all over the world through rapid long-distance transportation, helping people overcome geographic barriers. Consequently, this has ushered in substantial economic growth, both ...

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A Survey on Blockchain Interoperability: Past, Present, and Future Trends
November 2022, Article No.: 168, pp 1–41https://doi.org/10.1145/3471140

Blockchain interoperability is emerging as one of the crucial features of blockchain technology, but the knowledge necessary for achieving it is fragmented. This fact makes it challenging for academics and the industry to achieve interoperability among ...

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Open Access
Deep Neural Network–based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
November 2022, Article No.: 169, pp 1–30https://doi.org/10.1145/3469094

Internet-enabled smartphones and ultra-wide displays are transforming a variety of visual apps spanning from on-demand movies and 360°  videos to video-conferencing and live streaming. However, robustly delivering visual content under fluctuating ...

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Machine Learning at the Network Edge: A Survey
November 2022, Article No.: 170, pp 1–37https://doi.org/10.1145/3469029

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine ...

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A Systematic Review of API Evolution Literature
November 2022, Article No.: 171, pp 1–36https://doi.org/10.1145/3470133

Recent software advances have led to an expansion of the development and usage of application programming interfaces (APIs). From millions of Android packages (APKs) available on Google Store to millions of open-source packages available in Maven, PyPI, ...

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A Survey of Automated Programming Hint Generation: The HINTS Framework
November 2022, Article No.: 172, pp 1–27https://doi.org/10.1145/3469885

Automated tutoring systems offer the flexibility and scalability necessary to facilitate the provision of high-quality and universally accessible programming education. To realise the potential of these systems, recent work has proposed a diverse range of ...

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Human Factors in Phishing Attacks: A Systematic Literature Review
November 2022, Article No.: 173, pp 1–35https://doi.org/10.1145/3469886

Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a trustworthy entity in digital communication. It is a type of cyber attack often successful because users are not aware of their vulnerabilities or are unable to ...

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Evolutionary Large-Scale Multi-Objective Optimization: A Survey
November 2022, Article No.: 174, pp 1–34https://doi.org/10.1145/3470971

Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their performance may deteriorate drastically when tackling problems containing a large number of decision variables. In recent ...

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AutoML to Date and Beyond: Challenges and Opportunities
November 2022, Article No.: 175, pp 1–36https://doi.org/10.1145/3470918

As big data becomes ubiquitous across domains, and more and more stakeholders aspire to make the most of their data, demand for machine learning tools has spurred researchers to explore the possibilities of automated machine learning (AutoML). AutoML ...

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A Systematic Literature Review on Virtual Machine Consolidation
November 2022, Article No.: 176, pp 1–38https://doi.org/10.1145/3470972

Virtual machine consolidation has been a widely explored topic in recent years due to Cloud Data Centers’ effect on global energy consumption. Thus, academia and companies made efforts to achieve green computing, reducing energy consumption to minimize ...

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A Survey on Deep Learning for Human Activity Recognition
November 2022, Article No.: 177, pp 1–34https://doi.org/10.1145/3472290

Human activity recognition is a key to a lot of applications such as healthcare and smart home. In this study, we provide a comprehensive survey on recent advances and challenges in human activity recognition (HAR) with deep learning. Although there are ...

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