Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

To solve this problem, this paper proposes a novel small target object detection algorithm model: Swin Transformer’s DETR. In this algorithm, Swin Transformer is used as the backbone to extract the ...

This correspondence discusses a space–time adaptive processing (STAP) method using deep neural network (DNN) and shrinkage algorithm (SA) under small training samples. A DNN-based SA is developed to ...

Python for cybersecurity with the basic concepts, easy to understand code examples, lab exercises, real-world examples, different security scripts covering web security, network security, defensive ...

A Python framework to build solo or multiplayer perfect-information games, and design solvers or AI bots using algorithms like Backtracking, Pathfinding, Minimax, MCTS, or Neural Networks.