IEEE

High-Confidence Classification of Partial Discharge Acoustic Signals Using Bayesian Networks for Uncertainty Quantification

Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...

IIT Madras to offer free Machine Learning course in 2026: How to enrol, what you will learn, who should apply

IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...
eLife

Overcoming distortion in multidimensional predictive representation

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...
IEEE

VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring

Abstract: Motion blur estimation is a critical and fundamental task in scene analysis and image restoration. While most state-of-the-art deep learning-based methods for single-image motion image ...