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Computers, Volume 14, Issue 11

November 2025 - 53 articles

Cover Story: Analyzing passenger flow is vital for optimizing public transport operations and safety. This paper introduces a novel, cost-efficient system that leverages YOLO-based computer vision deployed on low-power NVIDIA Jetson Nano (Edge AI) devices. Unlike traditional cloud-dependent methods, our approach provides real-time, on-device analysis of passenger density in tram stations. This enables immediate decision-making, significantly enhancing operational efficiency, reducing hardware costs, and improving the safety and experience of urban mobility systems. View this paper
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Articles (53)

  • Article
  • Open Access
984 Views
24 Pages

Survey on Monocular Metric Depth Estimation

  • Jiuling Zhang,
  • Yurong Wu and
  • Huilong Jiang

20 November 2025

Monocular metric depth estimation (MMDE) aims to generate depth maps with an absolute metric scale from a single RGB image, which enables accurate spatial understanding, 3D reconstruction, and autonomous navigation. Unlike conventional monocular dept...

  • Article
  • Open Access
912 Views
26 Pages

AutoQALLMs: Automating Web Application Testing Using Large Language Models (LLMs) and Selenium

  • Sindhupriya Mallipeddi,
  • Muhammad Yaqoob,
  • Javed Ali Khan,
  • Tahir Mehmood,
  • Alexios Mylonas and
  • Nikolaos Pitropakis

18 November 2025

Modern web applications change frequently in response to user and market needs, making their testing challenging. Manual testing and automation methods often struggle to keep up with these changes. We propose an automated testing framework, AutoQALLM...

  • Article
  • Open Access
417 Views
17 Pages

Deep Learning-Based Citrus Canker and Huanglongbing Disease Detection Using Leaf Images

  • Maryjose Devora-Guadarrama,
  • Benjamín Luna-Benoso,
  • Antonio Alarcón-Paredes,
  • Jose Cruz Martínez-Perales and
  • Úrsula Samantha Morales-Rodríguez

17 November 2025

Early detection of plant diseases is key to ensuring food production, reducing economic losses, minimizing the use of agrochemicals, and maintaining the sustainability of the agricultural sector. Citrus plants, an important source of vitamin C, fiber...

  • Article
  • Open Access
416 Views
25 Pages

Machine Learning Models for Subsurface Pressure Prediction: A Data Mining Approach

  • Muhammad Raiees Amjad,
  • Rohan Benjamin Varghese and
  • Tehmina Amjad

17 November 2025

Precise pore pressure prediction is highly essential for safe and effective drilling; however, the nonlinear and heterogeneous nature of the subsurface strata makes it extremely challenging. Conventional physics-based methods are not capable of handl...

  • Article
  • Open Access
379 Views
22 Pages

An Embedded Convolutional Neural Network Model for Potato Plant Disease Classification

  • Laila Hammam,
  • Hany Ayad Bastawrous,
  • Hani Ghali and
  • Gamal A. Ebrahim

16 November 2025

Globally, potatoes are one of the major crops that significantly contribute to food security; hence, the field of machine learning has opened the gate for many advances in plant disease detection. For real-time agricultural applications, it has been...

  • Review
  • Open Access
1,685 Views
32 Pages

15 November 2025

Arabic natural language processing (NLP) has garnered significant attention in recent years due to the growing demand for automated text and Arabic-based intelligent systems, in addition to digital transformation in the Arab world. However, the uniqu...

  • Article
  • Open Access
328 Views
18 Pages

Recognizing Cattle Behaviours by Spatio-Temporal Reasoning Between Key Body Parts and Environmental Context

  • Fangzheng Qi,
  • Zhenjie Hou,
  • En Lin,
  • Xing Li,
  • Jiuzhen Liang and
  • Wenguang Zhang

13 November 2025

The accurate recognition of cattle behaviours is crucial for improving animal welfare and production efficiency in precision livestock farming. However, existing methods pay limited attention to recognising behaviours under occlusion or those involvi...

  • Article
  • Open Access
1 Citations
498 Views
24 Pages

GrowMore: Adaptive Tablet-Based Intervention for Education and Cognitive Rehabilitation in Children with Mild-to-Moderate Intellectual Disabilities

  • Abdullah,
  • Nida Hafeez,
  • Kinza Sardar,
  • Fatima Uroosa,
  • Zulaikha Fatima,
  • Rolando Quintero Téllez and
  • José Luis Oropeza Rodríguez

13 November 2025

Providing equitable, high-quality education to all children, including those with intellectual disabilities (ID), remains a critical global challenge. Traditional learning environments often fail to address the unique cognitive needs of children with...

  • Article
  • Open Access
556 Views
20 Pages

eXplainable AI Framework for Automated Lesson Plan Generation and Alignment with Bloom’s Taxonomy

  • Deborah Olaniyan,
  • Julius Olaniyan,
  • Ibidun C. Obagbuwa and
  • Anthony K. Tsetse

13 November 2025

This paper presents an Explainable Artificial Intelligence (XAI) framework for the automated generation of lesson plans aligned with Bloom’s Taxonomy. The proposed system addresses the dual challenges of accurate cognitive classification and pe...

  • Article
  • Open Access
416 Views
19 Pages

13 November 2025

Large language models (LLMs) such as GPT-4 are increasingly integrated into research, industry, and enterprise workflows, yet little is known about how input file formats shape their outputs. While prior work has shown that formats can influence resp...

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Computers - ISSN 2073-431X