Abstract: The Internet of Things (IoT) system and path planning algorithm provide a technological foundation for autonomous navigation of uncrewed aerial vehicles (UAVs). Geospatial data from the IoT ...
The primary objective of this project is to develop a robust path planning solution for transport UAVs operating in low-altitude environments with complex terrain and obstacles. The algorithm is ...
Abstract: This paper introduces an improved particle swarm optimization (PSO) as a new tool for training an artificial neural network (ANN). As a consequence, an accurate comparison with other ...
PSO-Merging is an innovative deep model fusion method that uses particle swarm optimization algorithm to automatically find optimal model fusion weights. This project is built on the FusionBench ...
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