
Overview
Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 347)
Included in the following conference series:
Conference proceedings info: ADHIP 2020.
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About this book
The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Industrial applications of aspects with big data”.
The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.
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Keywords
- artificial intelligence
- big data
- communication channels (information theory)
- communication systems
- computer hardware
- computer networks
- computer science
- computer systems
- data mining
- databases
- digital storage
- engineering
- information technology
- internet
- mathematics
- network protocols
- sensors
- signal processing
- telecommunication systems
- wireless telecommunication systems
Table of contents (46 papers)
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Industrial Application of Multi-modal Information Processing
Other volumes
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Advanced Hybrid Information Processing
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Advanced Hybrid Information Processing
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Hybrid Information Processing
Book Subtitle: 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I
Editors: Shuai Liu, Liyun Xia
Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
DOI: https://doi.org/10.1007/978-3-030-67871-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
Softcover ISBN: 978-3-030-67870-8Published: 03 February 2021
eBook ISBN: 978-3-030-67871-5Published: 02 February 2021
Series ISSN: 1867-8211
Series E-ISSN: 1867-822X
Edition Number: 1
Number of Pages: XX, 532
Number of Illustrations: 159 b/w illustrations, 45 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Coding and Information Theory