Volume 55, Issue 2March 2023Issue-in-Progress
A Comprehensive Exploration of Languages for Parallel Computing
March 2023, Article No.: 24, pp 1–39https://doi.org/10.1145/3485008

Software-intensive systems in most domains, from autonomous vehicles to health, are becoming predominantly parallel to efficiently manage large amount of data in short (even real-) time. There is an incredibly rich literature on languages for parallel ...

A Survey on Gaps between Mean-Variance Approach and Exponential Growth Rate Approach for Portfolio Optimization
March 2023, Article No.: 25, pp 1–36https://doi.org/10.1145/3485274

Portfolio optimization can be roughly categorized as the mean-variance approach and the exponential growth rate approach based on different theoretical foundations, trading logics, optimization objectives, and methodologies. The former and the latter are ...

A Survey of Evaluation Metrics Used for NLG Systems
March 2023, Article No.: 26, pp 1–39https://doi.org/10.1145/3485766

In the last few years, a large number of automatic evaluation metrics have been proposed for evaluating Natural Language Generation (NLG) systems. The rapid development and adoption of such automatic evaluation metrics in a relatively short time has ...

Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature
March 2023, Article No.: 27, pp 1–38https://doi.org/10.1145/3485767

Autonomous vehicles are revolutionizing transport and next-generation autonomous mobility. Such vehicles are promising to increase road safety, improve traffic efficiency, reduce vehicle emission, and improve mobility. However, for these vehicles to live ...

Network Traffic Generation: A Survey and Methodology
March 2023, Article No.: 28, pp 1–23https://doi.org/10.1145/3488375

Network traffic workloads are widely utilized in applied research to verify correctness and to measure the impact of novel algorithms, protocols, and network functions. We provide a comprehensive survey of traffic generators referenced by researchers over ...

Open Access
Orchestration in Fog Computing: A Comprehensive Survey
March 2023, Article No.: 29, pp 1–34https://doi.org/10.1145/3486221

Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources. Unlike cloud computing, fog resources are based on ...

Open Access
Video Generative Adversarial Networks: A Review
March 2023, Article No.: 30, pp 1–25https://doi.org/10.1145/3487891

With the increasing interest in the content creation field in multiple sectors such as media, education, and entertainment, there is an increased trend in the papers that use AI algorithms to generate content such as images, videos, audio, and text. ...

A Survey of Real-Time Ethernet Modeling and Design Methodologies: From AVB to TSN
March 2023, Article No.: 31, pp 1–36https://doi.org/10.1145/3487330

With the development of real-time critical systems, the ever-increasing communication data traffic puts forward high-bandwidth and low-delay requirements for communication networks. Therefore, various real-time Ethernet protocols have been proposed, but ...

Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey
March 2023, Article No.: 32, pp 1–37https://doi.org/10.1145/3490236

The purpose of a reputation system is to hold the users of a distributed application accountable for their behavior. The reputation of a user is computed as an aggregate of the feedback provided by fellow users in the system. Truthful feedback is clearly ...

Open Access
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
March 2023, Article No.: 33, pp 1–40https://doi.org/10.1145/3490234

The primary objective of implementing Electronic Health Records (EHRs) is to improve the management of patients’ health-related information. However, these records have also been extensively used for the secondary purpose of clinical research and to ...

Open Access
Gait Recognition Based on Deep Learning: A Survey
March 2023, Article No.: 34, pp 1–34https://doi.org/10.1145/3490235

In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works available in the ...

Biomedical Question Answering: A Survey of Approaches and Challenges
March 2023, Article No.: 35, pp 1–36https://doi.org/10.1145/3490238

Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables innovative applications to effectively perceive, access, and understand complex ...

Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey
March 2023, Article No.: 36, pp 1–38https://doi.org/10.1145/3487893

Mapping of spatial hotspots, i.e., regions with significantly higher rates of generating cases of certain events (e.g., disease or crime cases), is an important task in diverse societal domains, including public health, public safety, transportation, ...

A Review of Privacy Decision-making Mechanisms in Online Social Networks
March 2023, Article No.: 37, pp 1–32https://doi.org/10.1145/3494067

Personal information of online social networks (OSNs) is governed by the privacy policies chosen by users besides OSN’s policies. Users make these decisions using privacy mechanisms, but privacy problems and regrets are daily reported. This article ...

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
March 2023, Article No.: 38, pp 1–35https://doi.org/10.1145/3491206

Network representation learning (NRL) advances the conventional graph mining of social networks, knowledge graphs, and complex biomedical and physics information networks. Dozens of NRL algorithms have been reported in the literature. Most of them focus ...

Trustworthy Artificial Intelligence: A Review
March 2023, Article No.: 39, pp 1–38https://doi.org/10.1145/3491209

Artificial intelligence (AI) and algorithmic decision making are having a profound impact on our daily lives. These systems are vastly used in different high-stakes applications like healthcare, business, government, education, and justice, moving us ...

Scarcity of Labels in Non-Stationary Data Streams: A Survey
March 2023, Article No.: 40, pp 1–39https://doi.org/10.1145/3494832

In a dynamic stream there is an assumption that the underlying process generating the stream is non-stationary and that concepts within the stream will drift and change as the stream progresses. Concepts learned by a classification model are prone to ...

Open Access
A Survey of Approaches to Unobtrusive Sensing of Humans
March 2023, Article No.: 41, pp 1–28https://doi.org/10.1145/3491208

The increasing amount of human-related and/or human-originated data in current systems is both an opportunity and a challenge. Nevertheless, despite relying on the processing of large amounts of data, most of the so-called smart systems that we have ...

Open Access
Tackling Climate Change with Machine Learning
March 2023, Article No.: 42, pp 1–96https://doi.org/10.1145/3485128

Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a ...

A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data
March 2023, Article No.: 43, pp 1–44https://doi.org/10.1145/3492865

Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure. An early identification helps patients with AD sustain a normal living. We have outlined machine learning (ML) methodologies with different schemes of feature ...

Assessment of Routing Attacks and Mitigation Techniques with RPL Control Messages: A Survey
March 2023, Article No.: 44, pp 1–36https://doi.org/10.1145/3494524

Routing Protocol for Low-Power and Lossy Networks (RPL) is a standard routing protocol for the Low Power and Lossy Networks (LLNs). It is a part of the IPv6 over Low-Power Wireless Personal Area Network (6LoWPAN) protocol stack. Features such as energy-...



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