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

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

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

Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...

Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...

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 ...

Abstract: This study applies artificial intelligence (AI) techniques to develop and evaluate predictive models for road accident clearance time - an essential element in traffic management and public ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...