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 ...
3d
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, ...
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 ...
U.S. Customs and Border Protection can legally search travelers' electronic devices at ports of entry. Border agents can compel travelers to unlock phones using biometrics like Face ID without their ...
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