This work provides an important modeling-based framework for understanding the processes of temporal integration in the claustrum. These mechanisms could support a broader range of integrative brain ...

Gearboxes are commonly used in rotary machines. Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, ...

Abstract: Least Mean Square (LMS) and Gradient Descent (GD) algorithms are widely used in applications such as noise cancellation, echo cancellation, adaptive equalization, and neural network training ...

The Artificial Potential Field (APF) algorithm has been widely used for collision avoidance on unmanned ships. However, traditional APF methods have several defects that need to be addressed. To ...

This repository contains the code and pretrained models for "Learning-Based Reconstruction of FRI Signals" (TSP' 23; arxiv). The code consists of two different learning-based FRI models: Deep Unfolded ...

Abstract: The search for less polluting means of transport has intensified the research and promotion of electric vehicles (EVs). Unlike conventional vehicles, EVs have an electric power circuit ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Photonic topology optimization is a technique used to find the permittivity ...

State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P.R. China State Key Laboratory of Oncogenes and Related Genes, ...

We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...

Power-Force-Velocity profile obtained during a sprint test is crucial for designing personalized training and evaluating injury risks. Estimation of instantaneous velocity is requisite for developing ...