Drawing on a constant stream of live pollution data, the new AI-based DSS will use artificial intelligence (AI) to spot the ...

Hyderabad: A class XII student from Hyderabad, Ansh Kumar, has developed an artificial intelligence (AI)-assisted model for ...

This retrospective cohort study enrolled 538 urodynamically evaluated BPH patients. A rigorous multidimensional feature selection pipeline (LASSO, Boruta, and Recursive Feature Elimination) distilled ...

Wildfire smoke no longer stays in the West. In recent years, plumes have repeatedly drifted across the continent, triggering health alerts from California to the Midwest and East Coast. As the 2026 ...

The system includes baseline models (Linear Regression, Random Forest, XGBoost) and advanced models (Neural Networks, Ensemble methods) with comprehensive evaluation and visualization capabilities.

Introduction Supported self-management empowering people with asthma to detect early deterioration and take timely action reduces the risk of asthma attacks. Smartphones and smart monitoring devices ...

Jenny has over a decade of experience covering science and technology. In 2014, she started reviewing smart-home devices and kitchen appliances at Digital Trends. She also covered smart-home tech for ...

This project focuses on predicting air pollution levels in Sarajevo at the neighborhood level using machine learning models. To capture different characteristics of the data, we applied a GRU-based ...

1 Department of Mathematics, Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUISTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Science, Jomo Kenyatta ...