Buyerā€™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 ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

PromptSpy is the first known Android malware to use generative AI at runtime

Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google's Gemini ...
WeLiveSecurity

PromptSpy ushers in the era of Android threats using GenAI

ESET researchers discover PromptSpy, the first known Android malware to abuse generative AI in its execution flow.
Dot Physics on MSN

Learn how to use Python functions for projectile motion simulations

Master projectile motion simulations using Python functions! šŸāš” This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.
Dot Physics on MSN

Learn how to model a mass and spring using Python

Learn how to model a mass-spring system using Python in this step-by-step tutorial! šŸšŸ“Š Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorovā€“Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorovā€“Arnold networks (KANs) as prediction models. KANs are based on the ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether itā€™s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Nonlinear Optimal Midcourse Guidance Using Sequential Pseudospectral Model Predictive Control

Abstract: A sequential pseudospectral model predictive control (SPMPC) method is proposed for nonlinear optimal midcourse guidance with a general performance index. First, the optimal midcourse ...