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Computers, Volume 11, Issue 5

May 2022 - 26 articles

Cover Story: Using brain–computer interfaces (BCI), brain activity signals can be acquired, preprocessed, and classified in order to then be utilized in various fields of application such as prosthetics, robot control, or even entertainment. The extracted brain features and their classification method play crucial roles in the system’s ability to obtain and retain high robustness and efficiency. In this paper, we perform research to identify the most robustly effective approaches in the field of motor imagery (MI) BCIs. The results show that wavelet transforms combined with deep learning achieved the highest scores in terms of robustness and performance. View this paper
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Articles (26)

  • Article
  • Open Access
17 Citations
4,862 Views
15 Pages

How Machine Learning Classification Accuracy Changes in a Happiness Dataset with Different Demographic Groups

  • Colm Sweeney,
  • Edel Ennis,
  • Maurice Mulvenna,
  • Raymond Bond and
  • Siobhan O’Neill

This study aims to explore how machine learning classification accuracy changes with different demographic groups. The HappyDB is a dataset that contains over 100,000 happy statements, incorporating demographic information that includes marital statu...

  • Article
  • Open Access
27 Citations
5,066 Views
21 Pages

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach

  • Madhumini Mohapatra,
  • Ami Kumar Parida,
  • Pradeep Kumar Mallick,
  • Mikhail Zymbler and
  • Sachin Kumar

Botanical plants suffer from several types of diseases that must be identified early to improve the production of fruits and vegetables. Mango fruit is one of the most popular and desirable fruits worldwide due to its taste and richness in vitamins....

  • Communication
  • Open Access
8 Citations
2,854 Views
13 Pages

Energy Efficiency of IoT Networks for Environmental Parameters of Bulgarian Cities

  • Zlatin Zlatev,
  • Tsvetelina Georgieva,
  • Apostol Todorov and
  • Vanya Stoykova

Building modern Internet of Things (IoT) systems is associated with a number of challenges. One of the most significant among them is the need for wireless technology, which will serve to build connectivity between the individual components of this t...

  • Article
  • Open Access
29 Citations
5,546 Views
12 Pages

Comparison of Statistical and Machine-Learning Models on Road Traffic Accident Severity Classification

  • Paulo Infante,
  • Gonçalo Jacinto,
  • Anabela Afonso,
  • Leonor Rego,
  • Vitor Nogueira,
  • Paulo Quaresma,
  • José Saias,
  • Daniel Santos,
  • Pedro Nogueira and
  • Marcelo Silva
  • + 3 authors

Portugal has the sixth highest road fatality rate among European Union members. This is a problem of different dimensions with serious consequences in people’s lives. This study analyses daily data from police and government authorities on road...

  • Article
  • Open Access
24 Citations
10,702 Views
17 Pages

This article proposes a new concept of microservice-based architecture for the future of distributed systems. This architecture is a bridge between Internet-of-Things (IoT) devices and applications that are used to monitor cattle health in real time...

  • Article
  • Open Access
32 Citations
10,101 Views
20 Pages

A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture

  • Zaran Alsaadi,
  • Easa Alshamani,
  • Mohammed Alrehaili,
  • Abdulmajeed Ayesh D. Alrashdi,
  • Saleh Albelwi and
  • Abdelrahman Osman Elfaki

Currently, treating sign language issues and producing high quality solutions has attracted researchers and practitioners’ attention due to the considerable prevalence of hearing disabilities around the world. The literature shows that Arabic S...

  • Article
  • Open Access
9 Citations
3,915 Views
13 Pages

QoS-Aware Scheduling Algorithm Enabling Video Services in LTE Networks

  • Amal Abulgasim Masli,
  • Falah Y. H. Ahmed and
  • Ali Mohamed Mansoor

The Long-Term Evolution (LTE) system was a result of the 3rd-Generation Partnership Project (3GPP) to assure Quality-of-Service (QoS) performance pertaining to non-real-time and real-time services. An effective design with regards to resource allocat...

  • Article
  • Open Access
4 Citations
5,968 Views
13 Pages

Multicore and multithreaded architectures increase the performance of computing systems. The increase in cores and threads, however, raises further issues in the efficiency achieved in terms of speedup and parallelization, particularly for the real-t...

  • Article
  • Open Access
1 Citations
4,475 Views
17 Pages

Performance analysis plays an essential role in achieving a scalable performance of applications on massively parallel supercomputers equipped with thousands of processors. This paper is an empirical investigation to study, in depth, the performance...

  • Article
  • Open Access
2,595 Views
17 Pages

In the domain of artificial neural networks, it is important to know what their representation, classification and generalization capabilities are. There is also a need for time and resource-efficient training algorithms. Here, a new zero-error train...

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Computers - ISSN 2073-431X