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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(shū)目名稱(chēng)Life System Modeling and Intelligent Computing
副標(biāo)題International Confer
編輯Kang Li,Li Jia,George W. Irwin
視頻videohttp://file.papertrans.cn/586/585849/585849.mp4
概述Unique visibility.State-of-the-art survey.Fast-track conference proceedings
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Life System Modeling and Intelligent Computing; International Confer Kang Li,Li Jia,George W. Irwin Conference proceedings 2010 Springer-Ve
描述The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sust
出版日期Conference proceedings 2010
關(guān)鍵詞DNA computi; Scale-invariant feature transform; artificial life; bio-inspired computing; bioinformatics;
版次1
doihttps://doi.org/10.1007/978-3-642-15615-1
isbn_softcover978-3-642-15614-4
isbn_ebook978-3-642-15615-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing影響因子(影響力)




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




書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing被引頻次




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




書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing年度引用




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




書(shū)目名稱(chēng)Life System Modeling and Intelligent Computing讀者反饋




書(shū)目名稱(chēng)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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