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.
More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
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 ...
This repository contains the final course project demonstrating advanced proficiency in core data structures and algorithms in Python. The project is implemented using a strict modular architecture ...
Final data structures and algorithms project in Python: linked lists, recursion, Dijkstra, heap visualization, DFS/BFS traversal, greedy/DP optimization, and Monte Carlo simulation.
Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...
LONDON — The United States and other nations in the Five Eyes intelligence partnership on Wednesday took the unusual step of issuing a joint warning that China is using LinkedIn and other job ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results