A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
NYU Langone researchers developed an artificial intelligence tool that identifies which patients will require additional ...
Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...
Abstract: Model predictive torque control (PTC) is a high-performance control strategy for induction motor (IM) drives. However, its performance is highly dependent on the motor parameters. Besides, ...
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Buyer’s Practical Guide to Selecting China Industrial Loading Arms for Oil and Chemical Facilities
LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Vadzo Imaging offers cutting-edge embedded cameras for USB, MIPI, GigE, Wi-Fi, and SerDes interfaces, facilitating innovation in the domains of healthcare, industrial automation, robotics, edge AI, ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
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