Archive

Volume 9, Issue 2, December 2025

  • Research/Technical Note

    Tuning the Training of Neural Networks by Using the Perturbation Technique

    Huseyin Murat Cekirge*

    Issue: Volume 9, Issue 2, December 2025
    Pages: 107-109
    Received: 5 June 2025
    Accepted: 21 June 2025
    Published: 6 July 2025
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    Abstract: The calculation of biases and weights in neural network are being calculated or trained by using stochastic random descent method at the layers of the neural networks. For increasing efficiency and performance, the perturbation scheme is introduced for fine tuning of these calculations. It is aimed at introducing the perturbation techniques into tr... Show More
  • Research Article

    Towards a Set of Morphosyntactic Labels for the Fulani Language: An Approach Inspired by the EAGLES Recommendations and Fulani Grammar

    Zouleiha Alhadji Ibrahima, Charles Moudina Varmantchaonala, Dayang Paul*, Kolyang

    Issue: Volume 9, Issue 2, December 2025
    Pages: 110-121
    Received: 4 June 2025
    Accepted: 27 June 2025
    Published: 21 July 2025
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    Abstract: This paper details the development of a morphosyntactic label set for the Adamawa dialect of the Fulani language (Fulfulde), addressing the critical lack of digital resources and automatic processing tools for this significant African language. The primary objective is to facilitate the creation of a training corpus for morphosyntactic tagging, the... Show More
  • Research Article

    Research on Application Pathways and Development Trends of Generative Artificial Intelligence in 3D Modeling

    Liang Cao, Dong Junie*

    Issue: Volume 9, Issue 2, December 2025
    Pages: 122-128
    Received: 22 July 2025
    Accepted: 31 July 2025
    Published: 13 August 2025
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    Abstract: With the rapid advancement of Generative Artificial Intelligence (AIGC, Artificial Intelligence Generated Content) technology, 3D modeling, as a core component of digital content creation, is undergoing a profound transformation from "human-driven" to "intelligent generation." Traditional 3D modeling relies on specialized software and manual operat... Show More
  • Research Article

    An Alternative Way of Determining Biases and Weights for the Training of Neural Networks

    Huseyin Murat Cekirge*

    Issue: Volume 9, Issue 2, December 2025
    Pages: 129-132
    Received: 22 July 2025
    Accepted: 4 August 2025
    Published: 18 August 2025
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    Abstract: The determination of biases and weights in neural networks is a fundamental aspect of their performance, traditionally employing methods like steepest descent and stochastic gradient descent. While these supervised training approaches have proven effective, this technical note confidently presents a groundbreaking alternative that eliminates random... Show More
  • Research Article

    Evaluating the Performance of Selected Single Classifiers with Incorporated Explainable Artificial Intelligence (XAI) in the Prediction of Mental Health Distress Among University Students

    Victor Wandera Lumumba*, Dennis Kariuki Muriithi, Monicah Oundo

    Issue: Volume 9, Issue 2, December 2025
    Pages: 133-144
    Received: 23 July 2025
    Accepted: 4 August 2025
    Published: 30 August 2025
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    Abstract: The mental health of university students has emerged as a critical global public health concern, with increasing prevalence of anxiety, depression, and stress-related conditions reported across diverse academic environments. With the increasing mental health issues among university students all over the world, there is an observable disparity in em... Show More
  • Review Article

    Integrating Artificial Intelligence into Medical Physics Practice: Promises and Ethical Considerations

    Makoye John*, Rose Mina

    Issue: Volume 9, Issue 2, December 2025
    Pages: 145-153
    Received: 24 September 2024
    Accepted: 7 January 2025
    Published: 8 September 2025
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    Abstract: Artificial intelligence (AI) techniques such as deep learning show great potential to enhance medical physics practice by supporting diagnosis, treatment planning, and other clinical tasks. However, responsible integration of AI requires consideration of both promises and ethical risks to ensure technologies are developed and applied safely and for... Show More
  • Research Article

    Integrating Explainable Machine Learning Models for Early Detection of Hypertension: A Transparent Approach to AI-Driven Healthcare

    Elizabeth Wahito Waburi*, Dennis Kariuki Muriithi, Eugine Mukhwana Sundays

    Issue: Volume 9, Issue 2, December 2025
    Pages: 154-166
    Received: 18 August 2025
    Accepted: 1 September 2025
    Published: 23 September 2025
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    Abstract: Hypertension is a major public health challenge globally, often undiagnosed until severe complications arise, highlighting the critical need for early and accurate risk prediction methods. Despite advances in machine learning (ML), many models remain black boxes, limiting clinical trust and adoption. This study addresses these gaps by evaluating an... Show More
  • Research Article

    Bridging Swahili Communication Gaps: Real-Time Audio-to-Text Sentiment Analysis via Pre-trained NLP

    Kevin Obote*, Benjamin Kikwai, Kennedy Senagi, Joyce Njiiri, John Olukuru, Joseph Sevilla

    Issue: Volume 9, Issue 2, December 2025
    Pages: 167-185
    Received: 4 August 2025
    Accepted: 18 August 2025
    Published: 25 September 2025
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    Abstract: The global proliferation of digital communication highlights a critical gap in language technologies for digitally under-represented languages, particularly Kiswahili, a language spoken by over 100 million people. While significant advancements have been made in natural language processing (NLP) for high-resource languages like English, a persisten... Show More
  • Research Article

    Backpropagation Algorithm for Predicting Rainfall in Anyigba, Kogi State, Nigeria

    Ibrahim Abdulsaad, Sani Luqman Tenimu, Folake Oluwatoyin Adegoke*

    Issue: Volume 9, Issue 2, December 2025
    Pages: 186-197
    Received: 20 May 2025
    Accepted: 31 July 2025
    Published: 26 September 2025
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    Abstract: Rainfall remains the primary supply of moisture for agricultural activities in Nigeria. Accurate and timely rainfall prediction is also essential for food security, better flood control, water resource management, and the wellbeing of the people. This research proposes a method for rainfall prediction based on metrological data and a machine learni... Show More
  • Research/Technical Note

    Algebraic σ-Based (Cekirge) Model for Deterministic and Energy-Efficient Unsupervised Machine Learning

    Huseyin Murat Cekirge*

    Issue: Volume 9, Issue 2, December 2025
    Pages: 198-205
    Received: 13 September 2025
    Accepted: 20 September 2025
    Published: 30 September 2025
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    Abstract: Unsupervised learning is a fundamental branch of machine learning that operates without labeled outputs, aiming instead to uncover latent structures, intrinsic relationships, and patterns embedded in data. Unlike supervised approaches, which rely on explicit input-output mappings, unsupervised methods extract regularities directly from raw, often h... Show More