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Computers, Volume 12, Issue 11

November 2023 - 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
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Articles (24)

  • Article
  • Open Access
1 Citations
2,645 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
2,572 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
2,302 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
14 Citations
8,347 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
2,928 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
3 Citations
2,480 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
28 Citations
7,232 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
30 Citations
11,094 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
2,645 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
22 Citations
4,456 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...

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Computers - ISSN 2073-431X