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活动简介

Because of the variety of applications in information time, information processing has acted as an important research domain in computer science for decades. Nowadays, there are more remaining issues are waiting for solving in this domain. For example, there are lots existed problems in classification and systemization of hybrid data, processing and content understanding of hybrid multimedia information (speech, text or image), hybrid information compression, classification and recognition of huge online hybrid information, et al. These entire problems need our more attention to solve.
Therefore, we need more effective thoughts and methods to solve problems in hybrid information processing. In particular, the uses of sophisticated and robust mathematical methods are also important in huge information processing. Meantime, emerging methods which can improve the efficiency of this domain are also encouraged in this conference.
ADHIP 2017 aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies of advanced method in hybrid information processing, and their novel engineering applications within this domain.
The main focus of this special issue will be on the state-of-the-art advances in the studies and emerging applications in following topics. Excellent review articles are also welcome.

征稿信息

重要日期

2017-06-01
初稿截稿日期
2017-06-12
初稿录用日期
2017-06-25
终稿截稿日期

征稿范围

Potential topics include, but are not limited to:

1.Advanced methods and applications for hybrid Information, which include

  • Clustering model and method (Biological method / Fuzzy Set/ et al)

  • Geometric/ Multi-scale analysis

  • Optimization

  • Statistical methods

  • Chaotic and dynamical analysis

  • Compressed sensing

2.Real applications of aspects with hybrid Information, which include

  • Online social network

  • Online hybrid information security

  • Intelligent privacy protection

  • Behavior understanding and identity recognition

  • Emerging engineering application with online hybrid information

3.Social computing and natural language processing, which include

  • Science and foundations for social computing

  • Big data management analysis for social computing

  • Natural language processing techniques

  • Privacy and security in social computing and social media

4. Data-driven Science and Application, which include

  • Data Science and Application

  • Basic Theory and Techniques for Data Science

  • Evaluation and Measurement in Data Science

  • Data Mining and Knowledge Discovery

  • Machine Learning for Data Science

  • Data Security and Privacy

5.Hardware and Software Co-design, which include

  • Essential Issues in Code sign;

  • Hardware/Software Co-Synthesis Algorithms;

  • Prototyping and Emulation;

  • Target Architectures;

  • Compilation Techniques and Tools for Embedded Processor Architectures;

  • Design Specification and Verification;

  • Languages for System-Level Specification and Design;

  • Hardware/Software Partitioning

6. Other topics but not limit to

  • Remote sensing

  • Forensics & security

  • Sensor array and multi-channel systems

  • Coding and transmission

  • Watermarking & authentication

  • Adaptive signal processing

  • Wireless communications 

  • Wireless networks 

  • Cognitive Radio Network

  • Internet of Things 

  • Wireless sensor networks 

  • Underwater sensor networks 

  • Network security

  • Smart grid 

  • Radar signal processing 

  • Signal processing theory and methods 

  • Satellite and Space Communications 

  • Neural Networks and Systems 

  • Other related methods and applications are also welcome.

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重要日期
  • 会议日期

    07月17日

    2017

    07月18日

    2017

  • 06月01日 2017

    初稿截稿日期

  • 06月12日 2017

    初稿录用通知日期

  • 06月25日 2017

    终稿截稿日期

  • 07月18日 2017

    注册截止日期

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