Bio-inspired computation in telecommunications
Description
Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.
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Contributors:
ISBN:
9780128017432
9781336008922
9780128015384
9781336008922
9780128015384
Staff View
Grouping Information
Grouped Work ID | 1afafd27-35d5-8592-2a66-08b8dc88b33b |
---|---|
Grouping Title | bio inspired computation in telecommunications |
Grouping Author | xin she yang |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-04-14 19:51:57PM |
Last Indexed | 2024-05-17 00:06:02AM |
Solr Fields
accelerated_reader_point_value
0
accelerated_reader_reading_level
0
auth_author2
Chien, Su Fong
Ting, T. O.
Ting, Tiew On
Yang, Xin-She
Ting, T. O.
Ting, Tiew On
Yang, Xin-She
author
Yang, Xin-She
author2-role
Chien, Su Fong
Chien, Su Fong,editor
ScienceDirect (Online service)
Ting, T. O
Ting, Tiew On,editor
Yang, Xin-She,editor
Chien, Su Fong,editor
ScienceDirect (Online service)
Ting, T. O
Ting, Tiew On,editor
Yang, Xin-She,editor
author_display
Yang, Xin-She
display_description
Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.
format_category_ccu
eBook
format_ccu
eBook
id
1afafd27-35d5-8592-2a66-08b8dc88b33b
isbn
9780128015384
9780128017432
9781336008922
9780128017432
9781336008922
last_indexed
2024-05-17T06:06:02.416Z
lexile_score
-1
literary_form
Non Fiction
literary_form_full
Non Fiction
primary_isbn
9780128017432
publishDate
2015
publisher
Elsevier Ltd
Elsevier Science & Technology
Morgan Kaufmann
Elsevier Science & Technology
Morgan Kaufmann
recordtype
grouped_work
subject_facet
Biologically-inspired computing
Business & Economics
Computational Biology
Electronic books
Natural computation
TECHNOLOGY & ENGINEERING -- Mechanical
Telecommunication
Telecommunications
Transportation Economics
Business & Economics
Computational Biology
Electronic books
Natural computation
TECHNOLOGY & ENGINEERING -- Mechanical
Telecommunication
Telecommunications
Transportation Economics
title_display
Bio-inspired computation in telecommunications
title_full
Bio-Inspired Computation in Telecommunications Yang, Xin-She.
Bio-inspired computation in telecommunications / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting
Bio-inspired computation in telecommunications / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting
title_short
Bio-inspired computation in telecommunications
topic_facet
Biologically-inspired computing
Business & Economics
Computational Biology
Mechanical
Natural computation
TECHNOLOGY & ENGINEERING
Telecommunication
Telecommunications
Transportation Economics
Business & Economics
Computational Biology
Mechanical
Natural computation
TECHNOLOGY & ENGINEERING
Telecommunication
Telecommunications
Transportation Economics
Solr Details Tables
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record_details
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ebraryccu:EBC1956673 | eBook | eBook | English | Morgan Kaufmann | 2015 | 1 online resource (349 pages) : illustrations | ||
external_econtent:ils:.b49836547 | eBook | eBook | English | Elsevier Ltd | [2015] | 1 online resource : illustrations | ||
proquestebookwestern:EBC1956673 | eBook | eBook | English | Elsevier Science & Technology | 2015 | 1 online resource (349 pages) | ||
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