A machine-learning study using 2011–2025 data from Zambia’s regulated fuel-pricing system found that Ridge regression ...

Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a ...

Introduction About six months ago, a proposal I made to improve a predictive model I was in charge of was stalled during an ...

A research team has developed a framework that combines machine learning with quantitative microbial risk assessment to ...

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...

Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...

Researchers used a hierarchical machine learning strategy to identify tungsten bronze oxides and guide bismuth and germanium ...

A new laser-induced breakdown spectroscopy method improves phosphate rock analysis accuracy, offering potential for faster ...

Chromium discharged from industries has the potential to severely damage the environment. This study focuses on the optimization of adsorption parameters for successful elimination of hexavalent ...

Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...

Developer bubbleboi reports that Muse completed place-and-route for a crypto circuit and booted Linux on a custom RISC-V CPU ...

This report distills key insights from an in-depth conversation with Ya Ge—a former Microsoft and Pinterest engineer—on the podcast ...