5 citations · 6 across the 4 of their papers we have counts for
4 papers
Active Foundational Models for Fault Diagnosis of Electrical Motors
Sriram Anbalagan, Sai Shashank GP, Deepesh Agarwal +2
Fault detection and diagnosis of electrical motors are of utmost importance in ensuring the safe and reliable operation of several industrial systems. Detection and diagnosis of fa…
Towards AI enabled automated tracking of multiple boxers
A. S. Karthikeyan, Vipul Baghel, Anish Monsley Kirupakaran +4
Continuous tracking of boxers across multiple training sessions helps quantify traits required for the well-known ten-point-must system. However, continuous tracking of multiple at…
Foundational Models for Fault Diagnosis of Electrical Motors
Sriram Anbalagan, Deepesh Agarwal, Balasubramaniam Natarajan +1
A majority of recent advancements related to the fault diagnosis of electrical motors are based on the assumption that training and testing data are drawn from the same distributio…
Addressing practical challenges in Active Learning via a hybrid query strategy
Deepesh Agarwal, Pravesh Srivastava, Sergio Martin-del-Campo +2
Active Learning (AL) is a powerful tool to address modern machine learning problems with significantly fewer labeled training instances. However, implementation of traditional AL m…