Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Sensors, computer vision models, and artificial intelligence have combined to help CEAT Tyres’ Chennai factory reduce defects, waste and energy use, a.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to “here’s what to do.” ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results