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  1. Home /
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  3. Vol. 6 No. 1 (2026): Advances in Deep Learning Techniques

Vol. 6 No. 1 (2026): Advances in Deep Learning Techniques

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Published: 01-01-2026

Articles

  • Predictive Scheduling and Throughput Optimisation in Outpatient Clinical Workflows: Machine Learning Models for Ambulatory Care Efficiency

    Ana CastaƱo
    1-9
    • PDF
  • Reinforcement Learning and Stochastic Optimization in Multi-Asset Portfolio Construction: A Data-Driven Investment Framework

    Marko Bohanec
    10-18
    • PDF
  • Streaming Analytics and Anomaly Detection in Complex Supply Networks: An Event-Driven Framework for Real-Time Operational Intelligence

    Yang Liu
    19-34
    • PDF
  • Temporal Graph Networks and Online Learning for Adversarial Claim Detection: A Real-Time Anti-Fraud Architecture in Insurance Operations

    Pascal Fua
    35-46
    • PDF
  • Transcriptomic Similarity Mapping and Knowledge Graph Embeddings: Computational Strategies for Systematic Drug Repurposing

    Daniel GutiƩrrez
    47-57
    • 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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Gujarat, India
Website - thesciencebrigade.com/ADLT
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