That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

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

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

GOG-RT-DETR improves graphite ore grade detection, combining deep learning innovations for faster, more accurate mineral ...