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  1. A novel multi-scale context aggregation and feature pooling network for Mpox classification

    Article • Biomedical Signal Processing and Control, January 2026, Elsevier

    Dr. Mehdhar S. A. M. Al-Gaashani

  2. Truncated MobileNetV2 Sparse Vision Graph Attention Model for Explainable Monkeypox Disease Classification

    Article • Knowledge-Based Systems, September 2025, Elsevier

    Dr. Mehdhar S. A. M. Al-Gaashani

  3. ResST-SEUNet++: Deep Model for Accurate Segmentation of Left Ventricle and Myocardium in Magnetic Resonance Imaging (MRI) Images

    Article • Bioengineering, June 2025, MDPI AG

    Dr. Mehdhar S. A. M. Al-Gaashani

  4. Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections

    Article • Frontiers in Plant Science, January 2025, Frontiers

    Dr. Mehdhar S. A. M. Al-Gaashani

  5. MobileNetV2-based deep learning architecture with progressive transfer learning for accurate monkeypox detection

    Article • Applied Soft Computing, January 2025, Elsevier

    Dr. Mehdhar S. A. M. Al-Gaashani

  6. MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Mehdhar S. A. M. Al-Gaashani

  7. A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Mehdhar S. A. M. Al-Gaashani

  8. Optimizing Monkeypox Lesions Detection with a Lightweight Hybrid Model

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Mehdhar S. A. M. Al-Gaashani

  9. Enhancing Hajj and Umrah Services Through Predictive Social Media Classification

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Mehdhar S. A. M. Al-Gaashani

  10. EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease

    Article • Neural Computing and Applications, May 2024, Springer Science + Business Media

    Dr. Mehdhar S. A. M. Al-Gaashani

  11. Deep transfer learning with gravitational search algorithm for enhanced plant disease classification

    Article • Heliyon, April 2024, Elsevier

    Dr. Mehdhar S. A. M. Al-Gaashani

  12. Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism

    Article • Life, September 2023, MDPI AG

    Dr. Mehdhar S. A. M. Al-Gaashani

  13. Advanced AI Technique for Accurate Rice Disease Identification

    Article • Life, May 2023, MDPI AG

    Dr. Mehdhar S. A. M. Al-Gaashani

  14. An Ontology-Based Approach to Reduce the Negative Impact of Code Smells in Software Development Projects

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

    Dr. Mehdhar S. A. M. Al-Gaashani

  15. Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection

    Article • Journal of Circuits System and Computers, October 2022, World Scientific Pub Co Pte Lt

    Dr. Mehdhar S. A. M. Al-Gaashani

  16. Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model

    Article • Diagnostics, October 2022, MDPI AG

    Dr. Mehdhar S. A. M. Al-Gaashani

  17. An Efficient Deep Learning Approach for Colon Cancer Detection

    Article • Applied Sciences, August 2022, MDPI AG

    Dr. Mehdhar S. A. M. Al-Gaashani

  18. Tomato leaf disease classification by exploiting transfer learning and feature concatenation

    Article • IET Image Processing, January 2022, the Institution of Engineering and Technology (the IET)

    Dr. Mehdhar S. A. M. Al-Gaashani

  19. Intelligent System Architecture for Smart City and its Applications Based Edge Computing

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Mehdhar S. A. M. Al-Gaashani