Skip to Content

Computers, Volume 12, Issue 11

2023 November - 24 articles

Cover Story: Artificial neural networks are parametric machine learning models that are widely used nowadays in a huge range of applications. Moreover, global optimization techniques such as particle swarm optimization or genetic algorithms can be used to effectively train them. However, in order for the optimization techniques to be effective, knowledge of the domain range of the network parameters is also required, which is not always available. Here, an innovative two-step method is proposed for efficient training of artificial neural networks. In the first stage, using grammatical evolution and partitioning and expansion rules, the definition field of the parameters is determined, and in the second stage, the network is trained within the field of definition identified in the first stage. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (24)

  • Article
  • Open Access
15 Citations
6,648 Views
22 Pages

Smart Contract-Based Access Control Framework for Internet of Things Devices

  • Md. Rahat Hasan,
  • Ammar Alazab,
  • Siddhartha Barman Joy,
  • Mohammed Nasir Uddin,
  • Md Ashraf Uddin,
  • Ansam Khraisat,
  • Iqbal Gondal,
  • Wahida Ferdose Urmi and
  • Md. Alamin Talukder

20 November 2023

The Internet of Things (IoT) has recently attracted much interest from researchers due to its diverse IoT applications. However, IoT systems encounter additional security and privacy threats. Developing an efficient IoT system is challenging because...

  • Article
  • Open Access
7 Citations
13,104 Views
21 Pages

Pólya’s Methodology for Strengthening Problem-Solving Skills in Differential Equations: A Case Study in Colombia

  • Marcos Chacón-Castro,
  • Jorge Buele,
  • Ana Dulcelina López-Rueda and
  • Janio Jadán-Guerrero

18 November 2023

The formation of students is integral to education. Strengthening critical thinking and reasoning are essential for the professionals that today’s world needs. For this reason, the authors of this article applied Pólya’s methodolog...

  • Article
  • Open Access
6 Citations
2,901 Views
23 Pages

16 November 2023

With the increasing amount of data collected by IoT devices, detecting complex events in real-time has become a challenging task. To overcome this challenge, we propose the utilisation of semantic web technologies to create ontologies that structure...

  • Article
  • Open Access
29 Citations
5,279 Views
29 Pages

Mapping the Evolution of Cybernetics: A Bibliometric Perspective

  • Bianca Cibu,
  • Camelia Delcea,
  • Adrian Domenteanu and
  • Gabriel Dumitrescu

16 November 2023

In this study, we undertake a comprehensive bibliometric analysis of the cybernetics research field. We compile a dataset of 4856 papers from the ISI Web of Science database spanning 1975–2022, employing keywords related to cybernetics. Our fin...

  • Review
  • Open Access
6 Citations
4,888 Views
20 Pages

Design Recommendations for Immersive Virtual Reality Application for English Learning: A Systematic Review

  • Jessica Rodrigues Esteves,
  • Jorge C. S. Cardoso and
  • Berenice Santos Gonçalves

15 November 2023

The growing popularity of immersive virtual reality (iVR) technologies has opened up new possibilities for learning English. In the literature, it is possible to find several studies focused on the design, development, and evaluation of immersive vir...

  • Article
  • Open Access
20 Citations
14,688 Views
17 Pages

15 November 2023

Penetration testers have increasingly adopted multiple penetration testing scanners to ensure the robustness of web applications. However, a notable limitation of many scanning techniques is their susceptibility to producing false positives. This pap...

  • Article
  • Open Access
5 Citations
3,091 Views
18 Pages

Real-Time Network Video Data Streaming in Digital Medicine

  • Miklos Vincze,
  • Bela Molnar and
  • Miklos Kozlovszky

14 November 2023

Today, the use of digital medicine is becoming more and more common in medicine. With the use of digital medicine, health data can be shared, processed, and visualized using computer algorithms. One of the problems currently facing digital medicine i...

  • Article
  • Open Access
2 Citations
3,182 Views
10 Pages

14 November 2023

Vehicle area networks (VANs) encompass a spectrum of communication modes, including point-to-point visible light communication, 5G/6G cellular wireless communication, and Wi-Fi ad hoc multihop communication. The main focus of this paper is the introd...

  • Article
  • Open Access
10 Citations
12,076 Views
17 Pages

14 November 2023

The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern. This study investigates the spread of misinformation on social network data using soc...

  • Article
  • Open Access
23 Citations
5,798 Views
15 Pages

Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media

  • Deborah Olaniyan,
  • Roseline Oluwaseun Ogundokun,
  • Olorunfemi Paul Bernard,
  • Julius Olaniyan,
  • Rytis Maskeliūnas and
  • Hakeem Babalola Akande

14 November 2023

Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. In this study, we propose an advanced natural language processing methodology utilizing long short-term memory...

  • Article
  • Open Access
1 Citations
2,757 Views
14 Pages

Moving towards a Mutant-Based Testing Tool for Verifying Behavior Maintenance in Test Code Refactorings

  • Tiago Samuel Rodrigues Teixeira,
  • Fábio Fagundes Silveira and
  • Eduardo Martins Guerra

13 November 2023

Evaluating mutation testing behavior can help decide whether refactoring successfully maintains the expected initial test results. Moreover, manually performing this analytical work is both time-consuming and prone to errors. This paper extends an ap...

  • Article
  • Open Access
1 Citations
2,687 Views
12 Pages

10 November 2023

Protein dephosphorylation is the process of removing phosphate groups from protein molecules, which plays a vital role in regulating various cellular processes and intricate protein signaling networks. The identification and prediction of dephosphory...

  • Article
  • Open Access
3 Citations
2,382 Views
13 Pages

8 November 2023

Recently, interest and research on autonomous driving technology have been actively conducted. However, proving the safety of autonomous vehicles and commercializing autonomous vehicles remain key challenges. According to a report released by the Cal...

  • Article
  • Open Access
18 Citations
8,922 Views
34 Pages

Creating Location-Based Augmented Reality Games and Immersive Experiences for Touristic Destination Marketing and Education

  • Alexandros Kleftodimos,
  • Athanasios Evagelou,
  • Stefanos Gkoutzios,
  • Maria Matsiola,
  • Michalis Vrigkas,
  • Anastasia Yannacopoulou,
  • Amalia Triantafillidou and
  • Georgios Lappas

7 November 2023

The aim of this paper is to present an approach that utilizes several mixed reality technologies for touristic promotion and education. More specifically, mixed reality applications and games were created to promote the mountainous areas of Western M...

  • Article
  • Open Access
1 Citations
3,000 Views
16 Pages

Constructing the Bounds for Neural Network Training Using Grammatical Evolution

  • Ioannis G. Tsoulos,
  • Alexandros Tzallas and
  • Evangelos Karvounis

5 November 2023

Artificial neural networks are widely established models of computational intelligence that have been tested for their effectiveness in a variety of real-world applications. These models require a set of parameters to be fitted through the use of an...

  • Article
  • Open Access
4 Citations
2,639 Views
17 Pages

3 November 2023

This paper presents a new chance-constrained optimization (CCO) formulation for the bulk carrier conceptual design. The CCO problem is modeled through the scenario design approach. We conducted extensive numerical experiments comparing the convergenc...

  • Article
  • Open Access
32 Citations
7,879 Views
26 Pages

2 November 2023

Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for...

  • Article
  • Open Access
36 Citations
11,827 Views
20 Pages

Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing

  • Jaime Govea,
  • Ernesto Ocampo Edye,
  • Solange Revelo-Tapia and
  • William Villegas-Ch

1 November 2023

The intersection between technology and education has taken on unprecedented relevance, driven by the promise of transforming teaching and learning through advanced digital tools. This study proposes a comprehensive exploration of how cloud computing...

  • Article
  • Open Access
2,759 Views
17 Pages

Distributed Representation for Assembly Code

  • Kazuki Yoshida,
  • Kaiyu Suzuki and
  • Tomofumi Matsuzawa

1 November 2023

In recent years, the number of similar software products with many common parts has been increasing due to the reuse and plagiarism of source code in the software development process. Pattern matching, which is an existing method for detecting simila...

  • Article
  • Open Access
36 Citations
4,868 Views
31 Pages

31 October 2023

This paper presents several novel findings from a comprehensive analysis of about 50,000 Tweets about online learning during COVID-19, posted on Twitter between 9 November 2021 and 13 July 2022. First, the results of sentiment analysis from VADER, Af...

  • Article
  • Open Access
6 Citations
4,089 Views
21 Pages

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach

  • Loay Hassan,
  • Adel Saleh,
  • Vivek Kumar Singh,
  • Domenec Puig and
  • Mohamed Abdel-Nasser

30 October 2023

Digital breast tomosynthesis (DBT) stands out as a highly robust screening technique capable of enhancing the rate at which breast cancer is detected. It also addresses certain limitations that are inherent to mammography. Nonetheless, the process of...

  • Article
  • Open Access
33 Citations
5,859 Views
25 Pages

27 October 2023

Predicting the remaining useful life (RUL) is a pivotal step in ensuring the reliability of lithium-ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction, this study introduces an innovative hybrid deep learn...

  • Article
  • Open Access
10 Citations
4,740 Views
34 Pages

BigDaM: Efficient Big Data Management and Interoperability Middleware for Seaports as Critical Infrastructures

  • Anastasios Nikolakopoulos,
  • Matilde Julian Segui,
  • Andreu Belsa Pellicer,
  • Michalis Kefalogiannis,
  • Christos-Antonios Gizelis,
  • Achilleas Marinakis,
  • Konstantinos Nestorakis and
  • Theodora Varvarigou

27 October 2023

Over the last few years, the European Union (EU) has placed significant emphasis on the interoperability of critical infrastructures (CIs). One of the main CI transportation infrastructures are ports. The control systems managing such infrastructures...

  • Article
  • Open Access
8 Citations
6,024 Views
18 Pages

Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach

  • Ryosuke Nakamoto,
  • Brendan Flanagan,
  • Taisei Yamauchi,
  • Yiling Dai,
  • Kyosuke Takami and
  • Hiroaki Ogata

24 October 2023

In the realm of mathematics education, self-explanation stands as a crucial learning mechanism, allowing learners to articulate their comprehension of intricate mathematical concepts and strategies. As digital learning platforms grow in prominence, t...

XFacebookLinkedIn
Computers - ISSN 2073-431X