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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration: International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III
Kategorie Beschreibung
036aXB-SG
037beng
087q978-981-10-6363-3
100bXue, Yusheng ¬[Hrsg.]¬
104bCui, Shumei ¬[Hrsg.]¬
108bNiu, Qun ¬[Hrsg.]¬
112bYang, Zhile ¬[Hrsg.]¬
116bLuk, Patrick ¬[Hrsg.]¬
331 Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration
335 International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III
410 Singapore
412 Springer
425 2017
425a2017
433 Online-Ressource (XX, 815 p. 407 illus, online resource)
451 Communications in Computer and Information Science ; 763
527 Druckausg.ISBN: 978-981-10-6363-3
527 Printed editionISBN: 978-981-10-6363-3
540aISBN 978-981-10-6364-0
700 |UGK
700 |COM072000
700b|003.3
700c|QA76.9.C65
750 The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment
753 Biomedical Signal Processing -- Computational Methods in Organism Modeling -- Medical Apparatus and Clinical Applications -- Bionics Control Methods, Algorithms and Apparatus -- Modeling and Simulation of Life Systems -- Data Driven Analysis -- Image and Video Processing -- Advanced Fuzzy and Neural Network Theory and Algorithms -- Advanced Evolutionary Methods and Applications -- Advanced Machine Learning Methods and Applications -- Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems -- Advanced Methods for Networked Systems -- Control and Analysis of Transportation Systems -- Advanced Sliding Mode Control and Applications -- Advanced Analysis of New Materials and Devices -- Computational Intelligence in Utilization of Clean and Renewable Energy Resources -- Intelligent Methods for Energy Saving and Pollution Reduction -- Intelligent Methods in Developing Electric Vehicles, Engines and Equipment -- Intelligent Computing and Control in Power Systems -- Modeling, Simulation and Control in Smart Grid and Microgrid -- Optimization Methods; Computational Methods for Sustainable Environment
012 492998981
081 Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-981-10-6364-0
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