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

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

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

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

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

Microsoft and partners are building an open toolkit to add natural language interfaces to web content, using the Model ...

An improved particle swarm optimization algorithm is proposed, and it is applied to optimize the parameters of support vector machine. The typical Mackey-Glass chaos sequence is predicted through the ...

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 ...

Least squares support vector machine LS-S is one of the S methods which can overcome the dimension disaster of the classic quadratic program method to train the support vector machine, it is fit for ...

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

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

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