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  1. Home /
  2. Archives /
  3. Vol. 6 No. 1 (2026): Blockchain Technology and Distributed Systems

Vol. 6 No. 1 (2026): Blockchain Technology and Distributed Systems

Cover image for BTDS
Published: 01-01-2026

Articles

  • Regime-Aware Asset Allocation Through Recurrent Neural Networks: Machine Learning Approaches to Adaptive Investment Strategy Development

    Matej Rojc
    1-9
    • PDF
  • Spatial Consumer Flow Analysis and Product Placement Intelligence: Machine Learning Approaches to Retail Store Layout Optimisation

    Tatsiana Stsebakhova
    10-17
    • PDF
  • Stochastic Portfolio Modelling Under Uncertainty: Machine Learning Approaches to Systemic Risk Assessment in Insurance Portfolios

    Andrei Tonkoshkur
    18-25
    • PDF
  • Streaming Risk Scoring and Behavioural Pattern Recognition: A Real-Time Machine Learning Architecture for Insurance Fraud Risk Assessment

    Jorge Murillo
    26-36
    • PDF
  • Temporal Sequence Modelling and Anomaly Localisation: A Real-Time Deep Learning Framework for Insurance Claims Fraud Detection

    Christopher Müller
    37-52
    • PDF

Journal Logo

The Blockchain Technology and Distributed Systems (BTDS) is a peer-reviewed, open-access journal that publishes original research articles, reviews, and short communications in all areas of blockchain technology. The journal welcomes submissions from all researchers, regardless of their geographic location or institutional affiliation.

Blockchain Technology and Distributed Systems (BTDS)
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Gujarat, India
Website - thesciencebrigade.com/BTDS
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