GitHub

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe)

CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
IEEE

Gradient-Based Dimensionality Reduction for Speech Emotion Recognition Using Deep Networks

Abstract: This paper introduces a gradient-based approach for reducing the dimensionality of acoustic features, tailored for supervised deep learning models used in speech emotion recognition (SER).
GitHub

Gradient-boosted equivalent sources

We present the gradient-boosted equivalent sources: a new methodology for interpolating very large datasets of gravity and magnetic observations even on modest personal computers, without the high ...
NDTV

IISc Bangalore Invites Applications For Free Deep Learning, AI Course, Details Here

IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is offering a free online course on Deep Learning, and registrations are ...
IEEE

Reinforcement Learning-Based Adaptive Gain Tuning of Terminal Super-Twisting SMC for Lane-Change Control in Autonomous Vehicles

This paper presents a reinforcement learning–based adaptive gain tuning strategy for a Terminal Super-Twisting Sliding Mode Controller (TST-SMC) applied to autonomous vehicle lane-change maneuvers.