12 citations · 42 across the 9 of their papers we have counts for
4 papers · 1 filter
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev +2
Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine t…
Neural tangent kernel analysis of PINN for advection-diffusion equation
M. H. Saadat, B. Gjorgiev, L. Das +1
Physics-informed neural networks (PINNs) numerically approximate the solution of a partial differential equation (PDE) by incorporating the residual of the PDE along with its initi…
A unified theory of emergent equilibrium phenomena in active and passive matter
Venkat Venkatasubramanian, Abhishek Sivaram, Laya Das
Recent attempts towards a theory of active matter utilize concepts and methods from hydrodynamics, kinetic theory, and non-equilibrium statistical physics. However, such approaches…
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Sai Munikoti, Deepesh Agarwal, Laya Das +2
Deep reinforcement learning (DRL) has empowered a variety of artificial intelligence fields, including pattern recognition, robotics, recommendation-systems, and gaming. Similarly,…