Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for quantitative identification of ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...