Get the latest Fed rate cut news, market reactions, and expert analysis on policy uncertainty and economic risks. Click for ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Abstract: Accurately modeling the interactions between deformable linear objects (DLOs) and their environments is crucial for active deformation control by robot manipulators. Graph Neural Networks ...

Abstract: A typical recurrent neural network called zeroing neural network (ZNN) was developed for time-varying problem-solving in a previous study. Many applications result in time-varying linear ...

Fuzzy logic is a reasoning that has a truth value in the range between 0 and 1. In real life, we may find a situation where we can not decide whether the statement is true or false. At that time, ...

This repository contains an implementation of a graph neural network for the segmentation and object detection in radar point clouds. As shown in the figure below, the model architecture consists of ...