Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Yijie Pan Conference proceed

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Multi-server Cooperative Offloading Strategy for Dependent Tasks Based on Improved Genetic Algorithmn edge devices are processing computationally intensive and time-sensitive application tasks. Offloading strategy is one of the key technologies of MEC. Current task offloading strategies often lead to problems of low server utilization rate and high delay in the offloading process, because they ove

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A 3D Liver Semantic Segmentation Method Based on U-shaped Feature Fusion Enhancementet architecture, which has demonstrated limitations in effectively modeling long-range dependences. This shortfall impacts its ability to accurately capture subtle variations at the liver margin, often leading to segmentation inaccuracies. To overcome these limitations and enhance the local features

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Dynamic Elite Individual Setting Based Heterogeneous Comprehensive Learning Particle Swarm Optimizatrehensive learning particle swarm optimization is proposed to overcome this drawback. First, the comprehensive learning mechanism and population partition mechanism is introduced to dynamically select and retain the excellent attributes of the best particle in each iteration. Then, the autonomy of a

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Fault Diagnosis Network for Rotating Machinery Based on Multiscale Feature Fusionovel framework for machine fault diagnosis using deep learning techniques. We introduce a multimodal feature fusion network (MFFN) that leverages the robust feature learning capabilities of convolutional neural networks (CNNs) in the context of picture analysis. MFFN demonstrates the capability to c

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Automatic Multi-label Classification of Interictal Epileptiform Discharges (IED) Detection Based on eat significance for the diagnosis and treatment of epilepsy. Traditionally, the detection of IED requires experienced clinical doctors to visually inspect EEG recordings, a process that is time-consuming, labor-intensive, and subject to expert bias. With the advancement of deep learning technology,

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Fast Path Planning Algorithm for 3D Indoor Scene Roaming Based on Path Tablepaths. This paper proposes an indoor hierarchical roaming path planning algorithm based on path tables to solve the problems of long calculation time and large memory overhead when using the A* algorithm for roaming path planning in large-scale indoor scenes. First, we construct the path table based