Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

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 ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...