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The rapid development of information technology and computer science takes human society toward smart environments. In the smart environments, anything that can assist to solve the current challenges in business, industry, science, daily life etc., can refer to ‘Smart X’. Smart X includes smart city, smart home, smart grids, smart building, smart forest, smart geosciences, and smart computing, etc. Smart X can help human in various dimensions, e.g., better living with better resources, faster and better decision making, more precise future predicting, and quicker response making to challenges in surrounding environments and so on. However, how to implement Smart X? Today, smart techniques, together with the advances in big data and high-performance computing power, offer us big opportunities and transformative potential for intelligent decisions and predictive services. The major challenges we are facing involves extracting valuable knowledge from big data i.e. smart data for smart X, studying creative computing theories and techniques for Smart X, and designing dynamic and globally cooperative infrastructure built upon Smart X. Smart X also leads to a dramatic paradigm shift in our scientific research towards smart-driven computing.

征稿信息

重要日期

2016-06-15
初稿截稿日期

征稿范围

  • Cognitive computing

  • Smart information processing

  • Smart transportation

  • Data-driven smart city

  • Health informatics in smart cities

  • Internet of things in smart environments

  • Social networking in smart environments

  • Technologies and applications in smart forest

  • Technologies and applications in smart grids

  • Smart geosciences

  • Smart multimedia services

  • Smart spaces

  • Predictive analytic

  • High performance computing

  • Deep learning

  • Multimodal, multi-instance learning

  • Brain-inspired computing

  • Semantic technologies

  • Knowledge graphs

  • Deep reasoning in smart X

  • Big data and smart data applications

  • Handling uncertainty and incompleteness in big data

  • Smart data mining

  • Data intelligence

  • Security, privacy and trust in big data

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重要日期
  • 会议日期

    07月29日

    2016

    07月31日

    2016

  • 06月15日 2016

    初稿截稿日期

  • 07月31日 2016

    注册截止日期

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