In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...

Engaging System 2 requires significant metabolic energy. Your brain consumes a lot of your body’s energy as it is; intense ...