Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: This study looks at how dynamic pricing can help coffee shops make more revenue using machine learning. It uses three months of sales data to find patterns and predict the effects of price ...

Abstract: Reliable estimation of rainfall is vital for framing, hydrological management, and risk mitigation, particularly in areas where local climate conditions significantly influence the weather.

Abstract: Biomass valorization and agricultural waste management are cornerstones of environmentally responsible farming and power generation. Valorization of agricultural leftovers offers the ...

Earth's earliest life left behind very few chemical traces. Fragile remains, like ancient cells and microbial mats, were buried, squeezed, heated, and broken apart by the planet's shifting crust ...

This is now our sixth issue of "Deacon Dreams," where, after each week, we outline Wake Forest's path to bowl eligibility (or better). We will preview upcoming matchups and talk about projections for ...

Soil salinity significantly constrains agricultural productivity and land sustainability, particularly in irrigated areas. While, remote sensing offers large-scale monitoring capacity, but its ...