The University of Texas Permian Basin is expanding its Computer Science Program with a new AI track. The program will start ...
From AI workshops to race cars and biotech labs, colleges are expanding hands-on learning in response to student demand and ...
MathWorks is integrating modern AI coding agents with its traditional engineering software, MATLAB. This move surprised many users due to the generational difference between the platforms. MATLAB and ...
Abstract: We report a newly developed room-temperature (RT) shimming method for high-temperature superconducting (HTS) magnets employing a deep Q-network (DQN), a type of reinforcement learning theory ...
This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...
Abstract: The dependence of high-impedance faults (HIFs) detection methods on a large amount of training data has always been a fundamental problem in electrical distribution systems. This article ...
The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...
Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...
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