Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Every commercial roof has to match the building it sits on. Structure, usage, and environment all play a role in how ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Introduction Obesity and its downstream non-communicable diseases (NCDs) are the greatest health challenges of the 21st century, even in low-income and middle-income countries such as India. As ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, necessitates innovative approaches to resource management. Biomass, a versatile ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Newberry Volcano in central Oregon contains ideal conditions for a superhot rock enhanced geothermal system candidate. An ...