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Author

L. M

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Conference Open access Sep 2026

BXAI-Audit: A Blockchain-Enabled Explainable AI Framework for Tamper-Proof Fraud Detection

A Blockchain-Ass Explainable AI Audit system employing gradient boosting models and explainability techniques along with the benefits of blockchain technology in the context of fraud detection systems demonstrates 100% accuracy with the Hyperledger and Ethereum blockchain platforms with low latency of 1-3 seconds.

Joshuva Arockia Dhanraj, Godhandaraman T, Manikandan Moovendran et al. · 0 citations
Conference Open access Sep 2026

A Systematic Review of Edge and Fog Computing Technologies for Internet of Things Applications

This survey will evaluate the state-of-the-art solutions from 2020-2025, summarize the major points of interest, identify gaps along with future directions such as possible integration with 6G networks, digital twins, quantum resistant security mechanisms and practical Methods for creating sustainable edge infrastructu...

V. A, Mithaguru, Amrita Kundu et al. · 0 citations
Conference Aug 2026

Understanding AI Decisions in Vector-Borne Disease Detection: A Systematic Review of Methods, Practical Challenges, and Clinical Relevance

Vector-borne diseases such as dengue, malaria, and Zika remain major public health challenges, particularly in resource-constrained regions with limited diagnostic infrastructure. Artificial intelligence (AI) has demonstrated significant potential for early disease detection using medical imaging, clinical symptoms, an...

Manikandan Moovendran, Mithaguru, L. M et al. · 0 citations
Conference Aug 2026

ACAT: Confidence-Aware Transformer for Incomplete EHRs

Electronic Health Records frequently contain incomplete laboratory measurements and physiological observations or physiological data and forecasting the disease is often unpredictable. To address this, our team put forward Adaptive Confidence-Aware Transformer (ACAT). This solution does multiple things: it infers missi...

G. M, G. S. Anandha Mala, Manikandan Moovendran et al. · 0 citations
Conference Jul 2026

Region-Adaptive Traffic Sign Detection using Enhanced YOLOv8 with Small-Object Optimization

Traffic sign detection is an integral part of Advanced Driver Assistance Systems (ADAS) and self-driving cars wherein correct and timely detection helps ensure a safer driving experience. However, currently available models are trained on benchmark datasets that pertain to European or Chinese traffic scenarios. Such mo...

L. M, S. N., Sohan Js et al. · 0 citations

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