Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Abstract: This paper proposes a new modular four-unit permanent magnet synchronous hub machine (MF-PMSHM) with robust fault tolerance to enhance the operational reliability of electric vehicles (EVs).

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Medical and health news service that features the most comprehensive coverage in the fields of neuroscience, cardiology, cancer, HIV/AIDS, psychology, psychiatry, dentistry, genetics, diseases and ...

Explore why AI-powered crypto trading is rising, offering predictive insights, automation, and 24/7 market advantage. Here’s ...

Abstract: Software projects often fail due to poor effort estimation, which can lead to issues such as wasted time and resources. Developing software requires significant time, money, and skilled ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...