ZTE Communications Special Issue on

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  The new ear of AI is brought about by three converging forces: the advance of AI algorithms, the availability of big data, and the increasing popularity of high performance computing platforms. Data?driven intelligence, or data intelligence, is a new form of AI technologies that leverages the power of big data. It is becoming an extremely active research area with broad area of applications such as computer vision, medial and healthy, intelligent transportation system, multimedia system, and social network. With the huge volume of data available in various domains, big data brings opportunities to boost the performance of artificial intelligent system with advanced machine learning especially deep learning techniques. On the other hand, it also presents unprecedented challenges to manage and exploit big data for a variety of applications. This special issue seeks original articles describing development, relevant trends, challenges, and current practices in the field of big data and artificial intelligence. Position papers, and case studies are also welcome.
  Appropriate topics include, but are not limited to,
  ·Computer vision with big data
  ·Big medial data
  ·Big transportation data
  ·Deep learning for big data
  ·Applications of big data intelligence
  ·Semantic of heterogeneous data
  Guest Editors
  ·XU Cheng?zhong, Wayne State University (USA)
  ·QIAO Yu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (China)
  Important Dates
  ·Submission Due: August 1, 2018
  ·Review and Final Decision Due: September 15, 2018
  ·Final Manuscript Due: October 1, 2018
  ·Publication Date: December 25, 2018
  Manuscript Preparation
  Manuscripts must be typed in English and submitted electronically in MS Word (or compatible) format. The word length is approximately 3000 to 8000, and no more than 8 figures or tables should be included. Authors are requested to submit mathematical material and graphics in an editable format.
  Online Submission
  Please submit your manuscript through the online submission system of the journal: https://mc03.manuscriptcentral.com/ztecom
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