Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load ...

The portfolio optimization model has limited impact in practice because of estimation issues when applied to real data. To address this, we adapt two machine learning methods, regularization and cross ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

He has authored or co-authored more than 500 published articles and eight books in the fields of mathematical optimization, computer science and artificial intelligence, and is the originator of the ...

To closely examine Sn catalysts, they employed machine learning potential to perform large-scale molecular dynamics simulations, successfully capturing the reconstructed configurations of SnO 2 ...