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Computers, Volume 14, Issue 7

July 2025 - 54 articles

Cover Story: The 50th anniversary of the integration of the School of Industrial Technical Engineering of Alcoi into the UPV became an immersive experience thanks to virtual reality, the metaverse, and digital twins. The Ferrándiz–Carbonell building was recreated in an interactive virtual environment that was globally accessible, allowing students, faculty, and the public to relive memories and celebrate without physical limits. The digital twin received a score of 88.39/100 on the SUS scale. The article analyzes how these technologies are transforming social interaction, education, and accessibility in future digital ecosystems. View this paper
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Articles (54)

  • Article
  • Open Access
627 Views
21 Pages

Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences

  • Venkatesan Thillainayagam,
  • Ramkumar Thirunavukarasu and
  • J. Arun Pandian

In the realm of recommender systems, the prediction of diverse customer preferences has emerged as a compelling research challenge, particularly for multi-state business organizations operating across various geographical regions. Collaborative filte...

  • Article
  • Open Access
992 Views
37 Pages

Clos networks and their folded versions, fat trees, are widely adopted in interconnection network designs for data centers and supercomputers. There are two main types of Clos networks: strictly nonblocking Clos networks and rearrangeably nonblocking...

  • Article
  • Open Access
1 Citations
3,688 Views
18 Pages

A New AI Framework to Support Social-Emotional Skills and Emotion Awareness in Children with Autism Spectrum Disorder

  • Andrea La Fauci De Leo,
  • Pooneh Bagheri Zadeh,
  • Kiran Voderhobli and
  • Akbar Sheikh Akbari

This research highlights the importance of Emotion Aware Technologies (EAT) and their implementation in serious games to assist children with Autism Spectrum Disorder (ASD) in developing social-emotional skills. As AI is gaining popularity, such tool...

  • Article
  • Open Access
1 Citations
3,987 Views
25 Pages

Deep neural networks (DNNs) are highly effective for intrusion detection systems (IDS) due to their ability to learn complex patterns and detect potential anomalies within the systems. However, their high resource consumption requirements including m...

  • Article
  • Open Access
598 Views
28 Pages

The spread of COVID-19 is influenced by multiple factors, including control policies, virus characteristics, individual behaviors, and environmental conditions, exhibiting highly complex nonlinear dynamic features. The time series of new confirmed ca...

  • Article
  • Open Access
3 Citations
5,077 Views
17 Pages

Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees

  • Hoang Viet Anh Le,
  • Quoc Duy Nam Nguyen,
  • Nakano Tadashi and
  • Thi Hong Tran

The Blockchain-based Decentralized Identity Management System (BDIMS) is an innovative framework designed for digital identity management, utilizing the unique attributes of blockchain technology. The BDIMS categorizes entities into three distinct gr...

  • Article
  • Open Access
835 Views
20 Pages

To address the limitations of existing knowledge graph-based recommendation algorithms, including insufficient utilization of semantic information and inadequate modeling of user behavior motivations, we propose SKGRec, a novel recommendation model t...

  • Article
  • Open Access
744 Views
23 Pages

Machine Learning Techniques for Uncertainty Estimation in Dynamic Aperture Prediction

  • Carlo Emilio Montanari,
  • Robert B. Appleby,
  • Davide Di Croce,
  • Massimo Giovannozzi,
  • Tatiana Pieloni,
  • Stefano Redaelli and
  • Frederik F. Van der Veken

The dynamic aperture is an essential concept in circular particle accelerators, providing the extent of the phase space region where particle motion remains stable over multiple turns. The accurate prediction of the dynamic aperture is key to optimis...

  • Article
  • Open Access
1,882 Views
21 Pages

Implementing Virtual Reality for Fire Evacuation Preparedness at Schools

  • Rashika Tasnim Keya,
  • Ilona Heldal,
  • Daniel Patel,
  • Pietro Murano and
  • Cecilia Hammar Wijkmark

Emergency preparedness training in organizations frequently involves simple evacuation drills triggered by fire alarms, limiting the opportunities for broader skill development. Digital technologies, particularly virtual reality (VR), offer promising...

  • Article
  • Open Access
1,037 Views
25 Pages

Performance Evaluation and QoS Optimization of Routing Protocols in Vehicular Communication Networks Under Delay-Sensitive Conditions

  • Alaa Kamal Yousif Dafhalla,
  • Hiba Mohanad Isam,
  • Amira Elsir Tayfour Ahmed,
  • Ikhlas Saad Ahmed,
  • Lutfieh S. Alhomed,
  • Amel Mohamed essaket Zahou,
  • Fawzia Awad Elhassan Ali,
  • Duria Mohammed Ibrahim Zayan,
  • Mohamed Elshaikh Elobaid and
  • Tijjani Adam

Vehicular Communication Networks (VCNs) are essential to intelligent transportation systems, where real-time data exchange between vehicles and infrastructure supports safety, efficiency, and automation. However, achieving high Quality of Service (Qo...

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Computers - ISSN 2073-431X