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

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Transforming manufacturing, digital twins integrate AI and real-time data, optimizing processes and enabling proactive ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

AI is transforming financial services. Regulatory requirements, compliance demands and concerns over data consistency are ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much ...

Traffic classification (TC) is a fundamental task of network management and monitoring operations. Previous works relying on selected packet header fields (e.g. port numbers) or application layer ...

The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradient Boosting. The authors developed a novel ensemble ...