Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

Whether you're looking to get ahead in your schoolwork, improve a business skill, edit video, or even master French pastry, the top online learning sites we've tested can help. I'm an expert in ...

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

Artificial Intelligence, Cybersecurity, Vulnerability, Attacks, Machine Learning Share and Cite: Tsahat, C. and , N. (2026) Artificial Intelligence Systems Cybersecurity Ensuring: Analysis of ...

Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...