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

3 publications

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    Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine

    By Ushaa Eswaran, Vishal Eswaran

    Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …

    Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article

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    Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles

    By Ushaa Eswaran, Vishal Eswaran

    Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …

    Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article

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    Securing The Internet of Things: Threats, Safeguards, and Future Directions

    By Ushaa Eswaran, Vishal Eswaran

    Abstract: The Internet of Things (IoT) brings immense value while also presenting cybersecurity challenges due to its scale, distribution, and heterogeneity. This study conducts an in-depth analysis of IoT security issues, threats, vulnerabilities, and mitigation strategies through an extensive review of scholarly literature and real-world case studies. A multilayered security approach is proposed, encompassing device hardening, network monitoring, encryption, access controls, governance frameworks, and emerging technologies. The analysis underscores systemic IoT …

    Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 26–31 Read article

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