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

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

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

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

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 ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

Since the security accident of structures occurred continually in recent years, the damage identification is paid close attention by scholars. The support vector machine (SVM) as a new method of ...

Semisupervised scheme has emerged as a popular strategy in the machine learning community due to the expensiveness of getting enough labeled data. In this paper, a semisupervised incremental support ...