Abstract: The naming game (NG) is a classic model for studying the emergence and evolution of language within a population. In this article, we extend the traditional NG model to encompass multiple ...

Introducing a suite of nodes designed to enhance image upscaling. It calculates the optimal upscale resolution and seamlessly divides the image into tiles, ready for individual processing using your ...

Abstract: In the advertising and media industries, image editing often involves multiple manipulation techniques to meet creative and technical requirements. Detecting tampered regions is crucial in ...

Abstract: Voronoi diagrams are used in numerous fields from Biology and Medicine to Geography and Cartography. The wide variety of uses of Voronoi diagrams across this disparate fields requires ...

Abstract: Contrastive adversarial training has shown great potential in enhancing model robustness and has been adopted in point cloud classification. There are varying spatial distributions and ...

Abstract: Secure distributed estimation algorithms have garnered widespread attention for their stability and security. However, in the harsh adversarial network environment, the network is subjected ...

Abstract: Dynamic multi-robot systems face the intricate multi-agent pathfinding (MAPF) challenge as a pivotal hurdle. It has been uncovered through recent research that tackling MAPF issues can be ...

Abstract: Noisy Intermediate-Scale Quantum (NISQ) computers currently available have a few thousand qubits, and could potentially solve combinatorial optimization problems efficiently. However, the ...