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

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

The push for robustness continues in digital hydraulics, where an LQR and H-infinity-based control strategy was tested for ...

A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...

For Classifier Construction, support vector machine (SVM), principal component analysis (PCA), kernel PCA (KPCA) and ensemble learning methods are used to establish 15 single classifiers (i.e., 5 SVM ...

In this paper, we show how modern machine learning techniques can be used to considerable advantage in this respect. We apply the methods of support vector regression, kernelization techniques, ...

Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods. This course aims to provide an ...

Parfitt Cresswell, a prominent law firm with offices across London, the Thames Valley, Surrey, Sussex, and Kent has uncovered ...

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

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