Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict harmful social media interactions before they erupt, paving the way for ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world d ...

An in-depth look at how Mikaela Stenmo merges statistical analysis with creative execution to redefine experiential ...

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

Abstract: Cervical Cancer is still a major cause of cancer-related morbidity and mortality in women globally, especially in low and middle financial country where routine screening and diagnostic ...

Abstract: As per the latest research, IT sector is in the top of the list with a turnover rate of 13.2% compared to all other industries. Turn-over in an organization refers to number of employees who ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...