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  1. HFFN for Java: A Hybrid Feature Fusion Network for Automated Code Summarization

    Article • International Journal of Science and Research (IJSR), January 2026, International Journal of Science and Research

    Mr Victor Ikechukwu Agughasi

  2. Optimized Segmentation and Hybrid Features for Accurate Diabetic Retinopathy Diagnosis

    Article • January 2026, Springer Science + Business Media

    Mr Victor Ikechukwu Agughasi

  3. A Novel Deep Learning-Based Technique for Automatic Source Code Summarization

    Article • October 2025, Springer Science + Business Media

    Mr Victor Ikechukwu Agughasi

  4. Firefly-Based Segmentation and Residual Deep Learning for Multi- Class Diabetic Retinopathy Detection

    Article • INTELIGENCIA ARTIFICIAL, September 2025, Asociacion Española para la Inteligencia Artificial (AEPIA)

    Mr Victor Ikechukwu Agughasi

  5. Optimizing ResNet50 and VGG19 Networks for Accurate COPD Diagnosis Through CXR Analysis

    Article • January 2025, Springer Science + Business Media

    Mr Victor Ikechukwu Agughasi

  6. Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes

    Article • January 2025, Springer Science + Business Media

    Mr Victor Ikechukwu Agughasi

  7. Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models

    Article • Technologies, December 2024, MDPI AG

    Mr Victor Ikechukwu Agughasi

  8. Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques

    Article • INTELIGENCIA ARTIFICIAL, June 2024, Asociacion Española para la Inteligencia Artificial (AEPIA)

    Mr Victor Ikechukwu Agughasi

  9. The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images

    Article • INTELIGENCIA ARTIFICIAL, May 2024, Asociacion Española para la Inteligencia Artificial (AEPIA)

    Mr Victor Ikechukwu Agughasi

  10. Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis

    Article • March 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr Victor Ikechukwu Agughasi

  11. Reinforcement learning for efficient routing protocol in wireless internet of things

    Article • Indonesian Journal of Electrical Engineering and Computer Science, February 2024, Institute of Advanced Engineering and Science

    Mr Victor Ikechukwu Agughasi

  12. Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts From Source Codes

    Article • ITM Web of Conferences, January 2024, EDP Sciences

    Mr Victor Ikechukwu Agughasi

  13. xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr Victor Ikechukwu Agughasi

  14. Semi-supervised technique efficiently labels CXR images, reducing manual labeling needs

    Article • Applied Engineering and Technology, September 2023, ASCEE Publications

    Mr Victor Ikechukwu Agughasi

  15. COPDNet uses ResNet50 for COPD diagnosis from CXR images, achieving 98.9% recall with explainability

    Article • August 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr Victor Ikechukwu Agughasi

  16. CX-Net uses ensemble learning for lung diagnosis in X-rays, providing accurate, explainable results

    Article • Machine Learning Science and Technology, May 2023, Institute of Physics Publishing

    Mr Victor Ikechukwu Agughasi

  17. Leveraging Transfer Learning for Efficient Diagnosis of Copd Using Cxr Images and Explainable Ai Techniques

    Article • January 2023, Elsevier

    Mr Victor Ikechukwu Agughasi

  18. A new "i-Net" model shows 99.18% accuracy in diagnosing acute leukemia from blood cell images

    Article • International Journal of Advanced Technology and Engineering Exploration, October 2022, Association of Computer, Communication and Education for National Triumph Social and Welfare Society (ACCENTS)

    Mr Victor Ikechukwu Agughasi

  19. Pre-trained medical imaging models, when fine-tuned, match performance of those trained from scratch

    Article • Global Transitions Proceedings, November 2021, Elsevier

    Mr Victor Ikechukwu Agughasi