Neural Computing

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

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Improving Shape Awareness and Interpretability in Deep Networks

Improved Mapping of Computational Loops on Reconfigurable Architectures

Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network

Polynomial Implicit Neural Representations for Large Diverse Datasets