By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

Step inside a modern steel rolling mill and discover how advanced engineering, automation, and precision shaping turn raw ...

For more than a century, scientists treated forests as collections of individual trees responding in parallel to the same ...

Vineyards in the U.S. and Europe are testing robots for disease monitoring and treatment amid climate stress and labor ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

In the transportation industry, AI is reshaping how products are designed, how vehicles operate, and how workers and ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

The robots are coming – and they are here to help. That was the message at a workshop for the aquaculture and fisheries ...