Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy Modulators Energy modulators (EM) are textile mechanical devices designed to dissipate snatch loads that occur ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face. By merging disparate architectural ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
Abstract: Heart disease continues to be a leading global health concern, and early detection is critical to improving patient outcomes. While machine learning models have shown promise in predicting ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Automated MLOps for Urban Air Quality is a serverless AI system forecasting PM2.5 levels for Karachi, Pakistan. It automates the entire machine learning lifecycle from hourly data ingestion to daily ...
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