This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

New ML-based method predicts lithium salt performance, accelerating the development of safer, high-efficiency lithium metal ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

"We need to continue collecting data and using multiple datasets to develop a robust tsunami early ... AI inspired by the human brain, and multiple linear regression models, which are a traditional ...

Google's open-source Meridian helps marketers build better models, understand lift by channel and finally bring sanity to ...

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

Objective To explore the association between biological rhythm and internalising disorders among children and adolescents. Design, setting and participants This cross-sectional study used data from ...

In a pediatric clinic, doctors monitor the growth patterns of children over time to ensure they are developing normally. A large dataset of children's heights and weights, categorized by age, gender, ...

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...

California Gov. Gavin Newsom (D) spoke to reporters after a federal judge blocked President Donald Trump from deploying the National Guard to Los Angeles. Learn how to build a multivariate linear ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...