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  1. Home /
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  3. Vol. 5 No. 2 (2025): Advances in Deep Learning Techniques

Vol. 5 No. 2 (2025): Advances in Deep Learning Techniques

Cover image for ADLT
Published: 31-12-2025

Articles

  • Machine Intelligence and Consumer Decision Patterns: A Computational Framework for Retail Behavioural Analytics

    Maria Lenstrand
    1-10
    • PDF
  • Multi-Agent Coordination and Optimisation in Distributed Retail Networks: An AI-Driven Framework for Supply Chain Synchronisation

    Amel Boussahel
    11-18
    • PDF
  • Multimodal Clinical Data Integration for Post-Discharge Risk Stratification: Ensemble Learning Approaches to Hospital Readmission Prediction

    Beatriz Hernandez-Gomez
    19-26
    • PDF
  • Predictive Actuarial Intelligence: Machine Learning-Based Customer Segmentation and Risk Profiling in General Insurance

    Xiaobo Li
    27-40
    • PDF
  • Predictive Intelligence in Supply Network Dynamics: A Data-Driven Approach to Operational Analytics and Disruption Forecasting

    Barbara Secchi
    41-49
    • 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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