Abstract: The success of software projects is closely linked to accurate effort estimation, driving continuous efforts by researchers to refine estimation methods. Among various techniques, the ...

The friendship here depicts something that our culture usually finds very difficult to imagine: an image of straight ...

Traumatic spinal cord injury (SCI) is a serious neurologic disorder that can result in long-term motor and sensory ...

New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Background: Previous reports have suggested that the incidence of psychotic disorders has either been stable or decreasing ...

Researchers identify novel plasma biomarkers for early detection of pancreatic ductal adenocarcinoma in two retrospective phase 2 studies.