A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Abstract: This paper proposes a dynamic voltage control method that integrates Event-Triggered Control (ETC) with Model Predictive Control (MPC). First, to address challenges such as reactive power ...

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 ...

Hyperscale Data, Inc. , an artificial intelligence ("AI") data center company anchored by Bitcoin ("Hyperscale Data" or the "Company"), today announced that its wholly owned indirect subsidiary askROI ...

Spectacles included live coding app creation on stage, and AI-driven image generation in response to the live movement of dance ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

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 ...

Stevens Master of Data Science graduate Vandna Rajpal and her team, Neural Navigators, received first place at the D3CODE 2025 Global Hackathon. Her team designed Predicting and Reporting Insights ...

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 ...

Modern companies are getting cramped at the top, as established tech leader roles like CIO and CTO have been joined by the ...