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.· 2026 International Conferenc...· 0 citations
Variational Quantum Classifiers (VQCs) have emerged as prime candidates for machine learning on NISQ systems. It stands to reason that the same depolarizing noise that drives quantum states toward the maximally mixed state would also alleviate the overconfidence of VQCs. This paper tests that hypothesis through an empi...
Souvik Ghosh, Amrita Kundu, Mithaguru et al.· 2026 International Conferenc...· 0 citations
Large Language Models (LLMs) trained using Chain-of-Thought (CoT) supervision have achieved state-of-the-art performance on complex reasoning tasks. However, the generation of long reasoning chains introduces substantial computational overhead during inference, limiting their deployment in low-latency and resource-cons...
V. A, Mithaguru, Amrita Kundu et al.· 2026 4th International Confe...· 0 citations
Federated Learning (FL) offers a privacy-preserving framework for training energy forecasting models across geographically distributed nodes without centralising raw metering data. However, the accuracy of classical FL algorithms degrades substantially when client data is heterogeneous, a condition that is the norm rat...
Souvik Ghosh, Amrita Kundu, Mithaguru et al.· 2026 Third International Con...· 0 citations
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