In modern stone fabrications and precision manufacturing facilities, the sound of production is the ultimate indicator of profitability. When a heavy stone slab is loaded onto a cutting bed, operators ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

VIJAYAWADA: Venkata Sree Karthikeya Gattupalli, a tech entrepreneur with roots in Tadepalli, has been selected to present his ...

Objective: To investigate the prognostic value of postoperative radiotherapy (RT) for overall survival (OS) in patients with de novo metastatic hormone receptor (HR)-positive breast cancer, and to ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Researchers have for the first time virtually unwrapped and read an entire sealed Herculaneum papyrus scroll, carbonized ...

However, reliable preoperative risk stratification remains challenging. This study aimed to predict AL risk in the esophageal cancer (EC) population by developing and validating a machine learning (ML ...

An international group of quantum researchers demonstrated how machine learning may be used to filter a nearly endless number ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...