1 Key Laboratory of Fluid and Power Machinery, Xihua University, Ministry of Education, Chengdu, China 2 State Key Laboratory of Hydroscience and Department of Energy and Power Engineering, Tsinghua ...
UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...
Abstract: This paper introduces a Multi-objective Particle Swarm Optimization (MOPSO) algorithm to address the Transport on Demand Problem (TDP). The dynamic nature of the TDP, which includes ...
Abstract: Path planning is a key challenge in the field of mobile robotics. However, the standard particle swarm optimization (PSO) has some significant limitations when dealing with path planning ...
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