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  1. Home /
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  3. Vol. 4 No. 2 (2024): Advances in Deep Learning Techniques

Vol. 4 No. 2 (2024): Advances in Deep Learning Techniques

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Published: 31-12-2024

Articles

  • Condition-Based Asset Monitoring in Logistics Infrastructure: Deep Learning Models for Predictive Failure Analysis in Retail Supply Networks

    Nasir Memon
    1-12
    • PDF
  • Conversational Intelligence and Behavioural Nudging: Machine Learning Architectures for Personalised Insurance Client Engagement

    Ana Castaño Muñoz
    13-20
    • PDF
  • Deep Learning Architectures for Phenotypic Bioactivity Profiling in High-Throughput Chemical Screening Assays

    Xiaojing Wang
    21-28
    • PDF
  • Deep Learning-Augmented Preoperative Planning: Computational Approaches to Surgical Precision and Perioperative Outcome Optimization

    Katarzyna Szymkowiak
    29-36
    • PDF
  • Demand Sensing and Replenishment Intelligence: Neural Network-Driven Inventory Velocity Optimization in Omnichannel Retail

    Imene Dahmane
    37-46
    • 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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