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Computers, Volume 14, Issue 9

2025 September - 61 articles

Cover Story: Artificial intelligence (AI) is redefining both computer science and cybersecurity domains by enabling more intelligent, scalable, and privacy-aware systems. Prior surveys cover these fields in isolation, but this paper provides a unified review of 256 peer-reviewed publications to bridge that gap. Our dual-domain synthesis highlights powerful cross-cutting findings and shared challenges. Explainable AI, Federated Learning, and Local Differential Privacy are identified as essential safeguards in decentralized environments such as the Internet of Things (IoT) and healthcare. Despite transformative progress, we also emphasize persistent limitations such as fairness and adversarial robustness. This review integrates perspectives from two disciplines to deliver a unified foundational framework mapping advances, limitations, and requirements for resilient, ethical and trustworthy AI systems. View this paper
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Articles (61)

  • Article
  • Open Access
5 Citations
2,368 Views
19 Pages

An Intelligent Hybrid AI Course Recommendation Framework Integrating BERT Embeddings and Random Forest Classification

  • Armaneesa Naaman Hasoon,
  • Salwa Khalid Abdulateef,
  • R. S. Abdulameer and
  • Moceheb Lazam Shuwandy

27 August 2025

With the proliferation of online learning platforms, selecting appropriate artificial intelligence (AI) courses has become increasingly complex for learners. This study proposes a novel hybrid AI course recommendation framework that integrates Term F...

(This article belongs to the Section AI-Driven Innovations)
  • Article
  • Open Access
1 Citations
2,669 Views
14 Pages

27 August 2025

The automated analysis of pool game videos presents significant challenges due to complex object interactions, precise rule requirements, and event-driven game dynamics that traditional computer vision approaches struggle to address effectively. This...

(This article belongs to the Special Issue Multimodal Pattern Recognition of Social Signals in HCI (2nd Edition))
  • Article
  • Open Access
15 Citations
7,434 Views
35 Pages

Model Drift in Deployed Machine Learning Models for Predicting Learning Success

  • Tatiana A. Kustitskaya,
  • Roman V. Esin and
  • Mikhail V. Noskov

26 August 2025

The use of learning success prediction models is increasingly becoming a part of practice in educational institutions. While recent studies have primarily focused on the development of predictive models, the issue of their temporal stability remains...

  • Article
  • Open Access
1 Citations
1,499 Views
18 Pages

26 August 2025

Precise electricity consumption forecasting and anomaly detection constitute fundamental requirements for maintaining grid reliability in smart power systems. While consumption patterns demonstrate quasi-periodic behavior with region-specific fluctua...

(This article belongs to the Special Issue Machine Learning Applications in Pattern Recognition)
  • Article
  • Open Access
2 Citations
1,511 Views
16 Pages

26 August 2025

In recent years, the increasing complexity of production systems driven by technological development has created new opportunities in the industrial world but has also brought challenges in the practical use of these systems by operators. One of the...

(This article belongs to the Special Issue The Internet of Things—Current Trends, Applications, and Future Challenges (2nd Edition))
  • Article
  • Open Access
1 Citations
2,103 Views
31 Pages

24 August 2025

STEM education is constantly seeking innovative methods to enhance student learning. Virtual Reality technology can represent a critical tool for effectively teaching complex engineering subjects. This study evaluates an original Virtual Reality soft...

(This article belongs to the Special Issue Transformative Approaches in Education: Harnessing AI, Augmented Reality, and Virtual Reality for Innovative Teaching and Learning)
  • Article
  • Open Access
2 Citations
988 Views
32 Pages

23 August 2025

Industrial Wireless Sensor Networks (IWSNs) play a critical role in Industry 4.0 environments, enabling real-time monitoring and control of industrial processes. However, existing lightweight authentication protocols for IWSNs remain vulnerable to so...

(This article belongs to the Section Internet of Things (IoT) and Industrial IoT)
  • Article
  • Open Access
2 Citations
1,899 Views
20 Pages

A Method for Few-Shot Modulation Recognition Based on Reinforcement Metric Meta-Learning

  • Fan Zhou,
  • Xiao Han,
  • Jinyang Ren,
  • Wei Wang and ,
  • Yang Wang,
  • Peiying Zhang and
  • Shaolin Liao
  • + 2 authors+ 0 author

22 August 2025

In response to the problem where neural network models fail to fully learn signal sample features due to an insufficient number of signal samples, leading to a decrease in the model’s ability to recognize signal modulation methods, a few-shot s...

(This article belongs to the Special Issue Wireless Sensor Networks in IoT)
  • Article
  • Open Access
9 Citations
2,699 Views
46 Pages

22 August 2025

Swarm Intelligence (SI) algorithms were applied widely in solving complex optimization problems because they are simple, flexible, and efficient. The current paper proposes a new SI algorithm, which is based on the bird-like actions of swallows, whic...

(This article belongs to the Special Issue Operations Research: Trends and Applications)
  • Article
  • Open Access
48 Citations
3,327 Views
29 Pages

Hybrid FEM-AI Approach for Thermographic Monitoring of Biomedical Electronic Devices

  • Danilo Pratticò,
  • Domenico De Carlo,
  • Gaetano Silipo and
  • Filippo Laganà

22 August 2025

Prolonged operation of biomedical devices may compromise electronic component integrity due to cyclic thermal stress, thereby impacting both functionality and safety. Regulatory standards require regular inspections, particularly for surgical applica...

  • Article
  • Open Access
4 Citations
1,687 Views
19 Pages

Application of Partial Discrete Logarithms for Discrete Logarithm Computation

  • Dina Shaltykova,
  • Yelizaveta Vitulyova,
  • Kaisarali Kadyrzhan and
  • Ibragim Suleimenov

22 August 2025

A novel approach to constructing an algorithm for computing discrete logarithms, which holds significant interest for advancing cryptographic methods and the applied use of multivalued logic, is proposed. The method is based on the algebraic delta fu...

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Computers - ISSN 2073-431X