Titlebook: Bio-Inspired Computing: Theories and Applications; 18th International C Linqiang Pan,Yong Wang,Jianqing Lin Conference proceedings 2024 The

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An Improved Trajectory Planning Method for Unmanned Aerial Vehicles in Complex Environmentsctory is a challenging task, especially in complex environments. To address the above issue, an enhanced Elliptical tangent graph algorithm (ETG-CPI) based on comprehensive performance indicator is proposed in the present study. In the proposed algorithm, the comprehensive performance indicator, whi

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Badminton Detection Using Lightweight Neural Networks for Service Fault Judgementforcement still relies on the referee’s eye judgment. The Hawk-Eye system in matches mainly judges shuttlecock landings, which is not suited for service fault judgement. Recently, some algorithms based on computer vision have been proposed for badminton rules judgement. However, it is a challenging

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Incremental Learning with Maximum Dissimilarity Sampling Based Fault Diagnosis for Rolling Bearingsicant computational resources and exhibiting lower efficiency. Class incremental learning can be applied to online fault diagnosis, effectively reducing resource consumption. However, the model often experiences catastrophic forgetting during the training process, a problem that can be addressed by