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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
9 Citations
5,755 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
6 Citations
10,611 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
5 Citations
2,610 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
25 Citations
4,651 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
3 Citations
4,183 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
15 Citations
12,485 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
2,745 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
1 Citations
2,945 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
9 Citations
10,578 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
15 Citations
5,239 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...

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Computers - ISSN 2073-431XCreative Common CC BY license