Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

For more than 30 years, credit decisioning has focused on improving speed and accuracy through automated, large-scale, ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Bitcoin (BTC) has gone up 4.5% over the past week as renewed institutional demand helped stabilize prices. At the same time, derivatives data indicate a cooling in forced selling activity. Notably, ...

ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.

Abstract: This paper focuses on developing a prediction model to predict heart stroke using the parameters, namely, age, hypertension, previous heart disease status, average body glucose level, BMI, ...

This is the repository directly corresponding to the Arnoldi Singular Vector (A-SV) perturbation approach Arnoldi Singular Vector perturbations for machine learning weather prediction, arXiv preprint: ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...