Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The sixth book is Process control case histories – an insightful and humorous perspective from the control room. Humor can ...

A stimulating session on method development in the age of artificial intelligence (AI) and machine learning (ML) was one of the highlights of the morning sessions on Tuesday, June 17, 2025, Day 2 of ...

Under the promotion of the “dual carbon” policy, offshore wind power and other renewable energy sources have ushered in rapid ...

Evolving lithography demands are challenging mask writing technology, and the shift to curvilinear is happening.

Supply chain expert Mathew Witte shares how outdated tech, poor data, and overservicing inflate last-mile costs—and why last ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Various canonical piecewise linear (CPWL) function-based models have been widely used for modeling radio frequency (RF) power amplifiers (PAs). In most literatures, the thresholds of CPWL are often ...