Titlebook: Life System Modeling and Intelligent Computing; International Confer Kang Li,Li Jia,George W. Irwin Conference proceedings 2010 Springer-Ve

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書目名稱Life System Modeling and Intelligent Computing影響因子(影響力)




書目名稱Life System Modeling and Intelligent Computing影響因子(影響力)學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開度




書目名稱Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing被引頻次




書目名稱Life System Modeling and Intelligent Computing被引頻次學(xué)科排名




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書目名稱Life System Modeling and Intelligent Computing年度引用學(xué)科排名




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書目名稱Life System Modeling and Intelligent Computing讀者反饋學(xué)科排名

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CUDA Based High Performance Adaptive 3D Voxel Growing for Lung CT Segmentationper. The optimal parameters for segmentation is dynamically iterative adjusted based on the statistical information about previous segmented regions. To avoid the disadvantage of leaking during segmentation with the conventional voxel-growing based methods, it adopts a process to mutually utilize se

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Wavelet Packet-Based Feature Extraction for Brain-Computer Interfaces the wavelet packet transform (WPT) as an analysis tool and utilizes two kinds of information. Firstly, EEG signals are transformed into wavelet packet coefficients by the WPT. And then average coefficient values and average power values of certain subbands are computed, which form initial features.

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Study on Real-Time Control of Exoskeleton Knee Using Electromyographic Signalcts when they move their knee flexion-extension in the sagittal plane. The raw EMGs is processed and then input to a four-layer feed-forward neural network model which uses the back-propagation training algorithm. The output signal from neural network is processed by the wavelet transform. Finally,