The final, formatted version of the article will be published soon. The purpose of this research is to develop a multimodal medical image fusion method that will give high-performance fusion images, ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

Claude Flow v2.0.0-alpha.53 currently has partial integration with ruv-swarm's actual neural network implementations. While ruv-swarm contains legitimate WASM-based neural networks (167KB binary with ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

In this paper, we present an innovative approach to accurately extract the device parameters of a semiconductor p-n junction diode using a Multi-Objective Quantum-Inspired Particle Swarm Optimization ...

Abstract: Electricity theft poses significant challenges to the integrity and sustainability of power systems. In this study, we address this issue by combining neural networks with Particle Swarm ...

Abstract: We describe in this paper a new hybrid approach for optimization combining particle swarm optimization (PSO) and genetic algorithms (GAs) using fuzzy logic to integrate the results. The new ...