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Computers, Volume 14, Issue 8

August 2025 - 48 articles

Cover Story: This paper provides a comprehensive survey of the ENF as an environmental fingerprint for enhancing Metaverse security, reviewing its characteristics, sensing methods, limitations, and applications in threat modeling and the CIA triad (confidentiality, integrity, and availability). By capturing the ENF as having a unique signature that is timestamped, this method strengthens security by directly correlating physical grid behavior and virtual interactions, effectively combating threats such as deepfake manipulations. Building upon recent developments in signal processing, this strategy reinforces the integrity of digital environments, delivering robust protection against evolving cyber–physical risks and facilitating secure, scalable virtual infrastructures. View this paper
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Articles (48)

  • Article
  • Open Access
1 Citations
2,152 Views
26 Pages

As an introductory core course in computer science and related fields, “Fundamentals of Programming” has always faced many challenges in stimulating students’ interest in learning and cultivating their practical coding abilities. Th...

  • Article
  • Open Access
1 Citations
1,579 Views
45 Pages

The rapid expansion of the Metaverse presents complex security challenges, particularly in verifying virtual objects and avatars within immersive environments. Conventional authentication methods, such as passwords and biometrics, often prove inadequ...

  • Article
  • Open Access
3,127 Views
23 Pages

Healthcare AI for Physician-Centered Decision-Making: Case Study of Applying Deep Learning to Aid Medical Professionals

  • Aleksandar Milenkovic,
  • Andjelija Djordjevic,
  • Dragan Jankovic,
  • Petar Rajkovic,
  • Kofi Edee and
  • Tatjana Gric

This paper aims to leverage artificial intelligence (AI) to assist physicians in utilizing advanced deep learning techniques integrated into developed models within electronic health records (EHRs) in medical information systems (MISes), which have b...

  • Article
  • Open Access
1,642 Views
24 Pages

This study evaluates the performance and energy trade-offs of three popular data processing libraries—Pandas, PySpark, and Polars—applied to GreenNav, a CO2 emission prediction pipeline for urban traffic. GreenNav is an eco-friendly navig...

  • Review
  • Open Access
4,859 Views
29 Pages

Industries 4.0 and 5.0 are based on technological advances, notably large language models (LLMs), which are making a significant contribution to the transition to smart factories. Although considerable research has explored this phenomenon, the liter...

  • Article
  • Open Access
1,900 Views
31 Pages

Ensuring Zero Trust in GDPR-Compliant Deep Federated Learning Architecture

  • Zahra Abbas,
  • Sunila Fatima Ahmad,
  • Adeel Anjum,
  • Madiha Haider Syed,
  • Saif Ur Rehman Malik and
  • Semeen Rehman

Deep Federated Learning (DFL) revolutionizes machine learning (ML) by enabling collaborative model training across diverse, decentralized data sources without direct data sharing, emphasizing user privacy and data sovereignty. Despite its potential,...

  • Review
  • Open Access
1,539 Views
22 Pages

Multi-objective evolutionary algorithms (MOEAs) have emerged as powerful optimization tools for addressing the complex, often conflicting goals present in modern waste disposal systems. This review explores recent advances and practical applications...

  • Article
  • Open Access
1 Citations
909 Views
28 Pages

Adversarial attacks in Natural Language Processing (NLP) present a critical challenge, particularly in sentiment analysis, where subtle input modifications can significantly alter model predictions. In search of more robust defenses against adversari...

  • Article
  • Open Access
1 Citations
1,921 Views
20 Pages

In distance learning environments, learner engagement directly impacts attention, motivation, and academic performance. Signs of fatigue, negative affect, or critical remarks can warn of growing disengagement and potential dropout. However, most exis...

  • Review
  • Open Access
924 Views
49 Pages

A Map of the Research About Lighting Systems in the 1995–2024 Time Frame

  • Gaetanino Paolone,
  • Andrea Piazza,
  • Francesco Pilotti,
  • Romolo Paesani,
  • Jacopo Camplone and
  • Paolino Di Felice

Lighting Systems (LSs) are a key component of modern cities. Across the years, thousands of articles have been published on this topic; nevertheless, a map of the state of the art of the extant literature is lacking. The present review reports on an...

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Computers - ISSN 2073-431X