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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
1 Citations
1,569 Views
22 Pages

Beyond Opacity: Distributed Ledger Technology as a Catalyst for Carbon Credit Market Integrity

  • Stanton Heister,
  • Felix Kin Peng Hui,
  • David Ian Wilson and
  • Yaakov Anker

22 September 2025

The 2015 Paris Agreement paved the way for the carbon trade economy, which has since evolved but has not attained a substantial magnitude. While carbon credit exchange is a critical mechanism for achieving global climate targets, it faces persistent...

  • Article
  • Open Access
950 Views
29 Pages

22 September 2025

Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in word sense...

  • Article
  • Open Access
1,013 Views
20 Pages

21 September 2025

This paper proposes a novel perceptual image hashing scheme that robustly combines global structural features with local texture information for image authentication. The method starts with image normalization and Gaussian filtering to ensure scale i...

  • Article
  • Open Access
1 Citations
1,049 Views
40 Pages

SemaTopic: A Framework for Semantic-Adaptive Probabilistic Topic Modeling

  • Amani Drissi,
  • Salma Sassi,
  • Richard Chbeir,
  • Anis Tissaoui and
  • Abderrazek Jemai

19 September 2025

Topic modeling is a crucial technique for Natural Language Processing (NLP) which helps to automatically uncover coherent topics from large-scale text corpora. Yet, classic methods tend to suffer from poor semantic depth and topic coherence. In this...

  • Article
  • Open Access
499 Views
19 Pages

19 September 2025

Question-answering systems have become an important tool for learning and knowledge acquisition. However, current answer selection models often rely on representing features using whole sentences, which leads to neglecting individual words and losing...

  • Article
  • Open Access
917 Views
14 Pages

19 September 2025

This empirical paper explores South African preservice accounting teachers’ perceptions of ICT integration in secondary schools’ accounting curriculum practices. Since 2020, curriculum practices have been characterised by disruptions to t...

  • Article
  • Open Access
863 Views
21 Pages

Development of an Early Lung Cancer Diagnosis Method Based on a Neural Network

  • Indira Karymsakova,
  • Dinara Kozhakhmetova,
  • Dariga Bekenova,
  • Danila Ostroukh,
  • Roza Bekbayeva,
  • Lazat Kydyralina,
  • Alina Bugubayeva and
  • Dinara Kurushbayeva

18 September 2025

Cancer is one of the most lethal diseases in the modern world. Early diagnosis significantly contributes to prolonging the life expectancy of patients. The application of intelligent systems and AI methods is crucial for diagnosing oncological diseas...

  • Article
  • Open Access
1 Citations
2,151 Views
22 Pages

18 September 2025

This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and...

  • Article
  • Open Access
1,002 Views
29 Pages

17 September 2025

Diplomas and academic transcripts issued at the conclusion of a university cycle have been the subject of numerous studies focused on developing secure methods for their registration and access. However, in the context of high school teachers, these...

  • Review
  • Open Access
3 Citations
17,535 Views
40 Pages

16 September 2025

Currently, with significant developments in technology and social networks, people gain rapid access to news without focusing on its reliability. Consequently, the proportion of fake news has increased. Fake news is a significant problem that hinders...

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Computers - ISSN 2073-431X