FedScoop

AI bridges data-sharing gaps for faster disaster response

AI-powered ‘data fabrics’ bring advanced capabilities to disaster response by unifying disparate data streams and bringing ...
IEEE

Construction of an Outlier-Immune Data-Driven Power Flow Model for Model-Absent Distribution Systems

Abstract: For many actual distribution systems, an accurate system model might not be available, so the operator has to fit an approximate power flow model over a set of field measurements. To ...
C&EN

Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coarse-grained (CG) models provide an effective route to reduce the complexity of ...
IEEE

Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach

Abstract: Deep neural networks (DNNs) are sensitive to adversarial examples which are generated by corrupting benign examples with imperceptible perturbations, or have significant changes but can ...