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, ...

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

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Florida’s Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

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 ...

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

Avitesh Kesharwani says the average tech company wastes millions on meetings every year. His peer-reviewed research puts ...

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 ...