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Computers, Volume 10, Issue 3

2021 March - 14 articles

Cover Story: Adaptivity is the ability of the system to change its behavior whenever it does not achieve system requirements. Self-adaptive software systems (SASS) are considered a milestone in software development in many modern complex scientific and engineering fields. Employing self-adaptation in a system can accomplish better functionality or performance; however, it may lead to uncertainty. The uncertainty that results from using SASS needs to be tackled from different perspectives. The goal of this work is to highlight more details about SASS, describe all possible sources of uncertainty, and illustrate its effect on the ability of the system to fulfill its objectives. In addition, we present IoT as a case study to define uncertainty at different layers of the IoT stack. View this paper
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Articles (14)

  • Article
  • Open Access
6 Citations
6,054 Views
19 Pages

In this paper, we propose a new data-driven framework for 3D hand and full-body motion emotion transfer. Specifically, we formulate the motion synthesis task as an image-to-image translation problem. By presenting a motion sequence as an image repres...

  • Article
  • Open Access
18 Citations
5,331 Views
18 Pages

Enhancing Software Feature Extraction Results Using Sentiment Analysis to Aid Requirements Reuse

  • Indra Kharisma Raharjana,
  • Via Aprillya,
  • Badrus Zaman,
  • Army Justitia and
  • Shukor Sanim Mohd Fauzi

Recently, feature extraction from user reviews has been used for requirements reuse to improve the software development process. However, research has yet to use sentiment analysis in the extraction for it to be well understood. The aim of this study...

  • Article
  • Open Access
2 Citations
4,397 Views
24 Pages

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques

  • Gilberto Ayala-Bastidas,
  • Hector G. Ceballos and
  • Francisco J. Cantu-Ortiz

The impact of the strategies that researchers follow to publish or produce scientific content can have a long-term impact. Identifying which strategies are most influential in the future has been attracting increasing attention in the literature. In...

  • Article
  • Open Access
47 Citations
6,640 Views
20 Pages

The aim of this research study is to detect emotional state by processing electroencephalography (EEG) signals and test effect of meditation music therapy to stabilize mental state. This study is useful to identify 12 subtle emotions angry (annoying,...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
5 Citations
4,014 Views
31 Pages

Structural health monitoring (SHM) is a promising technique for in-service inspection of technical structures in a broad field of applications in order to reduce maintenance efforts as well as the overall structural weight. SHM is basically an invers...

  • Article
  • Open Access
3 Citations
3,550 Views
30 Pages

A Geometric Approach to Noisy EDM Resolution in FTM Measurements

  • Jerome Henry,
  • Nicolas Montavont,
  • Yann Busnel,
  • Romaric Ludinard and
  • Ivan Hrasko

Metric Multidimensional Scaling is commonly used to solve multi-sensor location problems in 2D or 3D spaces. In this paper, we show that such technique provides poor results in the case of indoor location problems based on 802.11 Fine Timing Measurem...

(This article belongs to the Special Issue Selected Papers from 16th&17th Wireless and Mobile Computing, Networking And Communications (WiMob 2020&2021))
  • Article
  • Open Access
4 Citations
3,648 Views
31 Pages

Monitoring the development of infectious diseases is of great importance for the prevention of major outbreaks. Syndromic surveillance aims at developing algorithms which can detect outbreaks as early as possible by monitoring data sources which allo...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
25 Citations
4,967 Views
14 Pages

Precisely assessing the severity of persons with COVID-19 at an early stage is an effective way to increase the survival rate of patients. Based on the initial screening, to identify and triage the people at highest risk of complications that can res...

  • Article
  • Open Access
16 Citations
5,358 Views
28 Pages

Fractional-Order Edge Detection Masks for Diabetic Retinopathy Diagnosis as a Case Study

  • Samar M. Ismail,
  • Lobna A. Said,
  • Ahmed H. Madian and
  • Ahmed G. Radwan

Edge detection is one of the main steps in the image processing field, especially in biomedical imaging, to diagnose a disease or trace its progress. The transfer of medical images makes them more susceptible to quality degradation due to any imposed...

  • Article
  • Open Access
1 Citations
4,984 Views
14 Pages

There is always an increasing demand for data storage and transfer; therefore, data compression will always be a fundamental need. In this article, we propose a lossless data compression method focused on a particular kind of data, namely, chat messa...

  • Article
  • Open Access
2,985 Views
11 Pages

This paper presents the structure of an encyclopedia-based framework (EbF) in which to develop computer vision systems that incorporate the principles of agile development with focussed knowledge-enhancing information. The novelty of the EbF is that...

  • Review
  • Open Access
80 Citations
15,795 Views
20 Pages

Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming

  • Fowzia Akhter,
  • Hasin Reza Siddiquei,
  • Md Eshrat E. Alahi and
  • Subhas C. Mukhopadhyay

27 February 2021

Water quality is the most critical factor affecting fish health and performance in aquaculture production systems. Fish life is mostly dependent on the water fishes live in for all their needs. Therefore, it is essential to have a clear understanding...

(This article belongs to the Special Issue Real-Time Systems in Emerging IoT-Embedded Applications)
  • Review
  • Open Access
16 Citations
5,015 Views
19 Pages

Toward Management of Uncertainty in Self-Adaptive Software Systems: IoT Case Study

  • Shereen Ismail,
  • Kruti Shah,
  • Hassan Reza,
  • Ronald Marsh and
  • Emanuel Grant

27 February 2021

Adaptivity is the ability of the system to change its behavior whenever it does not achieve the system requirements. Self-adaptive software systems (SASS) are considered a milestone in software development in many modern complex scientific and engine...

(This article belongs to the Special Issue Feature Paper in Computers)
  • Article
  • Open Access
6 Citations
6,342 Views
20 Pages

A Sensitive Data Access Model in Support of Learning Health Systems

  • Thibaud Ecarot,
  • Benoît Fraikin,
  • Luc Lavoie,
  • Mark McGilchrist and
  • Jean-François Ethier

26 February 2021

Given the ever-growing body of knowledge, healthcare improvement hinges more than ever on efficient knowledge transfer to clinicians and patients. Promoted initially by the Institute of Medicine, the Learning Health System (LHS) framework emerged in...

(This article belongs to the Special Issue Artificial Intelligence for Health)
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Computers - ISSN 2073-431X