Editors:
- Presents Multi-Channel-One Interface Manager as an alternative to Collaborative Cognitive Mesh Network
- Proposes ways to enhance Long Term Evolution for Machine Type Communication
- Includes a special chapter on Brazilian Portuguese Part-of-Speech Tagging
- Includes supplementary material: sn.pub/extras
Part of the book series: Telecommunications and Information Technology (TIT)
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Table of contents (10 chapters)
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Front Matter
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Classical Applications of Cognitive Technologies
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Front Matter
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Cognitive Technologies Applied to Wireless Networks
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Front Matter
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Cognitive Technologies Applied to Optical Networks
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Front Matter
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About this book
This book focuses on the next generation optical networks as well as mobile communication technologies. The reader will find chapters on Cognitive Optical Network, 5G Cognitive Wireless, LTE, Data Analysis and Natural Language Processing. It also presents a comprehensive view of the enhancements and requirements foreseen for Machine Type Communication. Moreover, some data analysis techniques and Brazilian Portuguese natural language processing technologies are also described here.
Editors and Affiliations
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Chief Research and Development Officer, CPqD, Campinas, Brazil
Alberto Paradisi
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CPqD, Cognitive Computing Division CPqD, Campinas, Brazil
Alan Godoy Souza Mello
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CPqD, Wireless Technologies Division CPqD, Campinas, Brazil
Fabrício Lira Figueiredo
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CPqD, Optical Technologies Division CPqD, Campinas, Brazil
Rafael Carvalho Figueiredo
Bibliographic Information
Book Title: Cognitive Technologies
Editors: Alberto Paradisi, Alan Godoy Souza Mello, Fabrício Lira Figueiredo, Rafael Carvalho Figueiredo
Series Title: Telecommunications and Information Technology
DOI: https://doi.org/10.1007/978-3-319-53753-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-53752-8Published: 14 July 2017
Softcover ISBN: 978-3-319-85235-5Published: 13 May 2018
eBook ISBN: 978-3-319-53753-5Published: 05 July 2017
Series ISSN: 2365-564X
Series E-ISSN: 2365-5658
Edition Number: 1
Number of Pages: X, 166
Number of Illustrations: 23 b/w illustrations, 41 illustrations in colour
Topics: Communications Engineering, Networks, Signal, Image and Speech Processing, Computer Communication Networks