1 Henan Polytechnic, Zhengzhou, China 2 School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China This study mainly includes five sections. The first section primarily ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

We’re building an interactive simulation that visually demonstrates hyperparameter optimization and learning strategies using two evolutionary algorithms — Genetic Algorithms (GA) and Particle Swarm ...

🧠⚡ Revolutionary distributed AI agent orchestration system that transforms GPT-5-Codex into collective intelligence networks. Features neural mesh networking, swarm intelligence algorithms ...

Abstract: An improved particle swarm optimization algorithm integrated with neural network (PSONN) is proposed for cooperative jamming resource allocation in complex electronic warfare scenarios. A ...

The acoustic properties of seafloor sediments are fundamental parameters for understanding submarine structures, resource exploration, and underwater acoustic field prediction. In geophysical acoustic ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

ABSTRACT: In this paper, we suggest a deep learning strategy for decision support, based on a greedy algorithm. Decision making support by artificial intelligence is of the most challenging trends in ...

Abstract: This paper presents a new BP neural network algorithm which is based on an improved particle swarm optimization (PSO) algorithm. The improved PSO (which is called IPSO) algorithm adopts ...