Overview: AI helps farmers make accurate decisions using real-time data from soil, weather, and crops.Precision farming ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Abstract: The research uses deep learning techniques for drought condition prediction while processing temporal and spatial data retrieved from various satellite resources over the Marathwada Region ...

Accurately predicting drought tolerance in woody perennial bioenergy crops is critical for sustainable biomass production under fluctuating precipitation. Hyperspectral imaging (HSI) in the ...

Abstract: This study evaluated three machine learning algorithms in predicting a diabetes mellitus diagnosis using a publicly available health data set. The models developed and analyzed in this study ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...