Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

This paper presents an efficient combination of genetic algorithms and machine-learning techniques to optimize scattering properties of 3D dielectric (PLA) slabs with surface deformations. The top and ...

Machine Learning (ML) algorithms applied to various chemical and materials science problems sparked a scientific and technological revolution, which allows addressing fundamental questions and ...

The uncertainty in maritime transportation dramatically impacts liner shipping efficiency; to improve operational stability, timely recovery of vessel schedule in liner shipping service is essential ...

A current approach uses classical machine learning (CML) algorithms, but they require large datasets, and their performance degrades in small-sample, nonlinear settings. The Australian researchers, ...