Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road ...

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...

Abstract: Overfitting, an issue that constrains the validity and generalizability of machine learning in neuroimaging-based diagnostic-classification, is in part due to small sample sizes in relation ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...