Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Metric learning has significantly improved machine learning applications such as face re-identification and image classification using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...