Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

An interactive route planning project that models a city road network as a graph and finds optimized routes using core Data Structures and Algorithms concepts. The project supports shortest, fastest, ...

cuGMEC solves a nonlinear gyrokinetic-MHD hybrid model with fluid electrons and gyrokinetic ions, including both thermal ions and energetic particles. The code can be used to study ...