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.
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.
07月17日
2017
07月18日
2017
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