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  3. Vol. 1 No. 2 (2026): August

Vol. 1 No. 2 (2026): August

					View Vol. 1 No. 2 (2026): August
Published: 2026-09-01

Articles

  • A Hybrid Vision Transformer and U-Net Framework for Automated Cardiac MRI Segmentation and Abnormality Detection

    Prachi Khune (Author)
    1-20
    • PDF
  • SHAP-Integrated Deep Neural Network for Interpretable Early Detection of Chronic Kidney Disease

    Dr. Arshad PT (Author)
    21-40
    • PDF
  • A Federated Learning Framework with Differential Privacy for High-Accuracy and Privacy-Preserving Healthcare Prediction

    Lukesh Thakur (Author)
    41-58
    • PDF
  • Attention-Enhanced Transformer Network for Interpretable Diabetic Retinopathy Severity Grading

    Govinda Sahu (Author)
    59-76
    • PDF
  • Deep Learning-Based Multimodal Fusion for Early Prediction of Cardiovascular Risk Using Clinical and Imaging Data

    Dr Amit Thakur, Sarita Kumari, Sarita Thakur, Bharti, Kartik Soni, Dr Shiwani Sharma (Author)
    77-93
    • PDF
  • Lightweight Edge AI Framework for Real-Time Disease Prediction on Resource-Constrained Healthcare Devices

    Dr. Amitava Biswas (Author)
    94-112
    • PDF
  • Self-Supervised Contrastive Learning with Vision Transformers for Data-Efficient Medical Image Classification

    Arijit Gandhi (Author)
    113-130
    • PDF
  • Adaptive Graph Attention Networks with Incremental Learning for Robust Financial Fraud Detection in Dynamic Transaction Networks

    Dr. Al Sadat Ibne Ahmed (Author)
    131-152
    • PDF
  • A Hybrid CNN-Vision Transformer Framework for Multi-Class Plant Disease Identification from Leaf Images

    Rishabh Aryan, Anju (Author)
    153-171
    • PDF

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The Journal of Machine Learning Innovations and Artificial Intelligence Horizons (JMLIAIH) is a distinguished, peer-reviewed journal published quarterly by NOTATION TRENDPLUS PUBLISHING PVT. LTD. This academic journal serves as a global platform for advancing knowledge and fostering innovation in the fields of machine learning and artificial intelligence. Each issue features high-quality, rigorously reviewed articles that contribute to both theoretical advancements and practical applications in these transformative domains.
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