16 citations · 16 across the 4 of their papers we have counts for
4 papers
Interpretable statistical feature engineering for early disruption prediction in the short pulse ADITYA tokamak
Jyoti Agarwal, Kavit Patel, Bhaskar Chaudhury +3
Reliable early disruption prediction is critical for the safe operation and real-time control of tokamaks. However, machine learning based prediction frameworks have predominantly…
Early Prediction of Current Quench Events in the ADITYA Tokamak using Transformer based Data Driven Models
Jyoti Agarwal, Bhaskar Chaudhury, Jaykumar Navadiya +2
Disruptions in tokamak plasmas, marked by sudden thermal and current quenches, pose serious threats to plasma-facing components and system integrity. Accurate early prediction, wit…
VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds
Paridhi Mundra, Manik Sharma, Yashwardhan Chaudhuri +2
As respiratory illnesses become more common, it is crucial to quickly and accurately detect them to improve patient care. There is a need for improved diagnostic methods for immedi…
An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders
M. Sharma, G. Singh, R. Singh
The data mining along with emerging computing techniques have astonishingly influenced the healthcare industry. Researchers have used different Data Mining and Internet of Things (…