STM Journals Peer-reviewed research from Consortium e-Learning Network

2 publications

  • Published Subscription Original Research Special issue

    Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification

    By Deepika Yadav, Aarti Sehwag, Heena Kwatra, Nitasha Rathore, Amrita Ticku, Jyotsna

    Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article

  • Published Subscription Review Article Special issue

    A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis

    By Akanksha Kochhar, Rupali Pandey, Aarti Sehwag, Sanskar Kannaujia, Anu Yadav*

    Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article

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