5 papers
Atrial Fibrillation Detection Using Machine Learning
Ankit Singh, Vidhi Thakur, Nachiket Tapas
Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for ischemic stroke. Early detection of AF using non-invasive signals can enable timely intervention…
Non-Invasive Anemia Detection: A Multichannel PPG-Based Hemoglobin Estimation with Explainable Artificial Intelligence
Garima Sahu, Poorva Verma, Nachiket Tapas
Anemia is a prevalent hematological disorder that requires frequent hemoglobin monitoring for early diagnosis and effective management. Conventional hemoglobin assessment relies on…
IndicEval: A Bilingual Indian Educational Evaluation Framework for Large Language Models
Saurabh Bharti, Gaurav Azad, Abhinaw Jagtap +1
The rapid advancement of large language models (LLMs) necessitates evaluation frameworks that reflect real-world academic rigor and multilingual complexity. This paper introduces I…
Improving LLM Reliability through Hybrid Abstention and Adaptive Detection
Ankit Sharma, Nachiket Tapas, Jyotiprakash Patra
Large Language Models (LLMs) deployed in production environments face a fundamental safety-utility trade-off either a strict filtering mechanisms prevent harmful outputs but often…
Explainability-Inspired Layer-Wise Pruning of Deep Neural Networks for Efficient Object Detection
Abhinav Shukla, Nachiket Tapas
Deep neural networks (DNNs) have achieved remarkable success in object detection tasks, but their increasing complexity poses significant challenges for deployment on resource-cons…