rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Life System Modeling and Intelligent Computing
    sub title: International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings, Part III
  name:
    name part: Li, Kang.
    role:
      role term: editor.
  name:
    name part: Jia, Li.
    role:
      role term: editor.
  name:
    name part: Sun, Xin.
    role:
      role term: editor.
  name:
    name part: Fei, Minrui.
    role:
      role term: editor.
  name:
    name part: Irwin, George W.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 719 p. 305 illus. online resource.
  abstract: 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 sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.
  table of contents: The First Section: Biomedical Signal Processing, Speech, Imaging and Visualization -- The Second Section: Biological and Biomedical Data Integration, Mining and Visualization -- The Third Section: Computational Intelligence in Bioinformatics and Biometrics -- The Fourth Section: Computational Methods and Intelligence in Modeling Molecular, Cellular and Multi-cellular behavior and Dynamics -- The Fifth Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems -- The Sixth Section: Intelligent Medical Apparatus and Clinical Applications -- The Seventh Section: Modeling and Simulation of Societies and Collective Behavior -- The Eighth Section: Brain Stimulation, Neural Dynamics and Neural Interfacing -- The Ninth Section: Intelligent Construction and Energy Saving Techniques for Sustainable and Green Built Environment -- The Tenth Section: Intelligent Water Treatment and Waste Management Technologies.
  note: edited by Kang Li, Li Jia, Xin Sun, Minrui Fei, George W. Irwin.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Pattern recognition
  subject:
    topic: Bioinformatics
  subject:
    topic: Life sciences
  subject:
    topic: Computer Science
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Life Sciences, general
  subject:
    topic: Theory of Computation
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Pattern Recognition
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 6330
  identifier: 9783642156151
  identifier: http://dx.doi.org/10.1007/978-3-642-15615-1
  record info:
    record creation date: 100914
    record change date: 20151204184728.0
    record identifier: 978-3-642-15615-1