Accurately modeling gross primary productivity (GPP) and evapotranspiration (ET) in terrestrial ecosystems is essential for ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
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Building better batteries with amorphous materials and machine learning
Gopalakrishnan and his team have studied how to boost the movement of ions in magnesium batteries, which can have a higher ...
Applied Analytics student M. Rake Lingor Anggoro discusses his research, presented to the IEEE SusTech 2025 Conference, on ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...
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NFL longshot picks, player props, predictions: Model backing Dillon Gabriel 220+ yards in ...
The SportsLine Machine Learning Model AI has found some longshot bets with value in the Week 6 NFL schedule, including Dillon ...
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