Machine Learning

Time-Synchronized Topology and State Estimation in Real-Time Unobservable Distribution Systems

Self-Supervised Technique for Training Vision Transformers

Regularization Technique for Training Vision Transformers

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Identify Targeted Attacks on Deep RL-Based Autonomous Driving

Predicting Accuracy of a Machine Learning Model

Simulation-based Real-time Production Control

Improving Shape Awareness and Interpretability in Deep Networks

Cyber Risk Loss Distribution Model of Client-Server Networks