Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

1 The Affiliated Guangzhou Hospital of TCM of Guangzhou University of Chinese Medicine, Guangzhou, China 2 Sleep Research Institute of Traditional Chinese Medicine, Guangzhou Medical University, ...

Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...

This project demonstrates a simulation of an experiment using Random Fourier Features (RFF) to approximate a non-linear function. The experiment is designed to be ...

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...

This directory serves as a way to re-create the results from our article - "Compressing Neural Networks Using Learnable 1-D Non-Linear Functions". If you have used our work, please cite our paper: ...

1 Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang, China 2 School of Basic Science, East China Jiaotong University, Nanchang, China ...

Abstract: In this article, a global output feedback control scheme is developed for a class of uncertain nonlinear systems subject to input quantization and unknown output function. By employing a ...