The control laws are based on a gradient descent scheme applied to a class of decentralized utility functions that encode optimal coverage and sensing policies. These utility functions are studied in ...

Once in the “gradient domain”, our problem of decomposing a curve into its bounding and nonbounding components — meaning components that can and cannot be explained as region boundaries — becomes the ...

Electrochemical systems with increasing complexity are gaining importance in catalytic energy conversion applications. Due to the interplay between transport phenomena and chemical kinetics, ...

This breakthrough solves a decades-old geometry problem by showing how to build objects in dimensions that we cannot envision.

In this article, we propose a new frequency-limited Riemannian geometric-nonlinear conjugate gradient model order reduction (MOR) method with the modified Armij ...

FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data Federated learning is a distributed machine learning approach which enables a shared server ...