Vol. 3 No. 1 (2026): IJRASHT: Vol 3, Issue 1, January-March 2026

View Vol. 3 No. 1 (2026): IJRASHT: Vol 3, Issue 1, January-March 2026
Published: 17-01-2026

Articles

  • AI-Based Analysis of Microbial Communities for Climate Impact Prediction

    Swati Govindrao Deshpande, Swati Abhay Jaipurkar
    1-5
    DOI: https://doi.org/10.71143/sne84k53

  • Machine Learning–Based Signal Classification for Brain–Computer Interface Applications

    Ankur Sharma
    6-10
    DOI: https://doi.org/10.71143/03sy1j70

  • An AI-Driven Framework for Intelligent Decision Making in IoT-Based Smart Systems

    R. P. Ambilwade
    11-17
    DOI: https://doi.org/10.71143/j7dtvn26

  • Deep Neural Network Approaches for Emotion Recognition in Human–Computer Interaction

    R. P. Ambilwade
    18-25
    DOI: https://doi.org/10.71143/w3a7yy43

  • A Secure Deep Learning Framework for Predictive Analytics in Industrial IoT

    Reeta   Mishra
    26-30
    DOI: https://doi.org/10.71143/6tjrgy71

  • Reinforcement Learning Techniques for Intelligent Control in IoT Networks

    Gaurav Singh Rawat
    31-37
    DOI: https://doi.org/10.71143/9eyq1z30

  • Intrusion Detection Systems using Supervised Machine Learning Techniques: A survey

    Chetan Negi, Pooja Hardiya
    38-43
    DOI: https://doi.org/10.71143/h47gcn94

  • Secure Deep Learning Techniques for Predictive Analytics in Industrial IoT Systems

    Parveen Kumar
    44-50
    DOI: https://doi.org/10.71143/kfd03x75

  • Comprehensive Thermodynamic and Molecular Interaction Study of N-Methyl-2-pyrrolidone (NMP) and Carbon Tetrachloride Binary Mixtures

    Anuradha, Ravi Rana, Jaibir Singh Yadav
    51-56
    DOI: https://doi.org/10.71143/51rnfp87

  • Self-Supervised Deep Learning Models for Low-Resource NLP Applications

    Pardeep Kaur
    57-61
    DOI: https://doi.org/10.71143/5nh5zh32

  • Explainable AI Models for Trustworthy Decision Support in Smart IoT Applications

    Dr. Kashif Qureshi
    62-68
    DOI: https://doi.org/10.71143/w4gze415