Abstract: The present study explores the effectiveness of using Physics-Informed Neural Network (PINN) predictions as an initial guess for iterative methods in solving an inverse coefficient problem, ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

People are increasingly looking for jobs on dating apps, leaving platforms like LinkedIn behind. Many respondents in a US survey said they had even received job offers through this method. Now people ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

For most Class 12 students, Mathematics is the subject that decides their mood during board exams. Some enjoy the challenge, others feel the pressure — and many feel both at the same time. As the CBSE ...

The ice in a domestic freezer is remarkably different from the single crystals that form in snow clouds, or even those formed on a frozen pond. As temperatures drop, ice crystals can grow in a variety ...

Abstract: We introduce label projection and embedding methods to improve generative adversarial networks. As proof of concept, we generate images of plasmonic nanostructures with different shapes by ...