Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...

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 ...

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 ...

ParticleMazeSolver: Utilizes PSO to navigate mazes efficiently, mimicking swarm behavior. Offers customizable pathfinding for varying maze complexities. Submitted for Computational Intelligence (CS ...

Abstract: The optimization of architecture and weights of feed forward neural networks is a complex task of great importance in problems of supervised learning. In this work we analyze the use of the ...

Abstract: This paper presents a novel current differential protection scheme based on Probabilistic Neural Network (PNN) for power transformer protection. Particle Swarm Optimization (PSO) technique ...