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  1. Home /
  2. Archives /
  3. Vol. 6 No. 1 (2026): Cybersecurity and Network Defense Research

Vol. 6 No. 1 (2026): Cybersecurity and Network Defense Research

Cover image for CNDR
Published: 01-01-2026

Articles

  • RFID-Enabled Inventory State Estimation and Automated Replenishment: A Real-Time Machine Learning Framework for Retail Inventory Tracking and Management

    Michael Cooney
    1-11
    • PDF
  • Structure-Based Molecular Optimisation Through Deep Generative Networks: AI-Enhanced Computational Strategies for Rational Drug Design

    Ying Liu
    12-21
    • PDF
  • Total Cost of Ownership Modelling and Procurement Intelligence: AI-Driven Approaches to Retail Supply Chain Cost Optimisation

    Jean-Philippe Lambert
    22-29
    • PDF
  • Translational Data Fusion Architectures for Efficacy Signal Propagation: AI-Enhanced Systems for Clinical-Preclinical Data Integration in Drug Development

    Li Guo
    30-37
    • PDF
  • Tumour Heterogeneity Profiling and Molecular Subtype Classification: AI-Enhanced Systems for Precision Oncology Drug Development Personalisation

    Yan Zhang
    38-49
    • PDF

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The Cybersecurity and Network Defense Research (CNDR) is a peer-reviewed, open-access journal that publishes original research articles, reviews, and short communications in all areas of cyber space and defense research. The journal welcomes submissions from all researchers, regardless of their geographic location or institutional affiliation.

Cybersecurity and Network Defense Research (CNDR)
The Science Brigade Publishers,
A unit of Libertatem Media Private Limited
A 606, Prahlad Nagar Trade Center,
Times Of India Press Rd, Vejalpur,
Ahmedabad 380015,
Gujarat, India
Website - thesciencebrigade.com/CNDR
Email - [email protected]
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