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  1. Home /
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  3. Vol. 5 No. 1 (2025): Advances in Deep Learning Techniques

Vol. 5 No. 1 (2025): Advances in Deep Learning Techniques

Cover image for ADLT
Published: 30-06-2025

Articles

  • Generative Molecular Modelling for Orphan Disease Therapeutics: Deep Learning Approaches to Target-Specific Drug Discovery

    Sudarshan Bhattacharyya
    1-8
    • PDF
  • Graph Neural Networks and Multi-Echelon Optimisation: A Computational Framework for Resilient Supply Chain Network Configuration

    Gül Büke Öztürk
    9-16
    • PDF
  • Intelligent Anomaly Detection in Insurance Claims Processing: A Supervised Learning Approach to Fraud Classification

    Nandini Sinha
    17-24
    • PDF
  • Intelligent Process Automation in Retail Banking: A Machine Learning Framework for Operational Efficiency Enhancement

    Akiko Yoshikawa
    25-32
    • PDF
  • Intelligent Product Lifecycle Orchestration: Predictive Analytics and Decision Automation in Retail Category Management

    Fumihiko Matsuno
    33-44
    • PDF

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The Advances in Deep Learning Techniques (ADLT) is a peer-reviewed, open-access journal that publishes original research articles, reviews, and short communications in all areas of Artificial Intelligence, Machine and Deep Learning. The journal welcomes submissions from all researchers, regardless of their geographic location or institutional affiliation.

Advances in Deep Learning Techniques (ADLT)
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