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Swarm intelligence : (Record no. 6009)

MARC details
000 -LEADER
fixed length control field 04897cam a2200553 i 4500
001 - CONTROL NUMBER
control field 9781003190141
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122832.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220928s2023 flu o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003190141
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003190146
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032039961
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000792867
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000792862
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000796506
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000796507
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032039954
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781003190141
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1346155082
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1346155082
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 051240
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 059000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 009000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 00 - TITLE STATEMENT
Title Swarm intelligence :
Remainder of title trends and applications /
Statement of responsibility, etc. editors: Erllington Pinheiro dos Santos, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (x, 250 pages).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note SECTION 1: FUNDAMENTALS AND ADVANCEMENTS ON SWARM INTELLIGENCE 1. Swarm Intelligence Based Algorithm for Feature Selection in High-Dimensional DatasetsNandini Nayar, Sachin Ahuja, and Shaily Jain2. Swarm Intelligence for Data Mining Razieh Sheikhpour3. Leveraging Center-Based Sampling Theory for Enhancing Particle Swarm Classification of Textual DataAnwar Ali Yahya4. Reinforcement Learning for Out-of-the-box Parameter Control for Evolutionary and Swarm-based AlgorithmMarcelo Gomes Pereira de LacerdaSECTION 2: APPLICATIONS5. Recognition of Emotions in the Elderly Through Audio Signal Analysis Flávio S. Fonseca, Arianne S. Torcate, Maíra A. Santana, Juliana C. Gomes, Nicole Charron, José Daniel S. do Carmo, Giselle M. M. Moreno and Wellington P. dos Santos6. Recognition of Emotions in the Elderly through Facial Expressions: A Machine Learning-Based ApproachArianne Sarmento Torcate, Maíra Araújo Santana, Juliana Carneiro Gomes, Ingrid Bruno Nunes, Flávio Secco Fonseca, Gisele M. M. Moreno, and Wellington Pinheiro dos Santos7. Identification of Emotion Parameters in Music to Modulate Human Affective StatesMaíra A. Santana, Ingrid B. Nunes, Andressa L. Q. Ribeiro, Flávio S. Fonseca, Arianne S. Torcate, Amanda Suarez, Vanessa Marques, Nathália Córdula, Juliana C. Gomes, Giselle M. M. Moreno, and Wellington P. Santos8. Clinical Decision Support in the Care of Symptomatic Patients with COVID-19: An Approach Based on Machine Learning and Swarm IntelligenceIngrid Bruno Nunes, Pedro Vitor Soares Gomes de Lima, Andressa Laysa Queiroz Ribeiro, Leandro Ferreira Frade Soares, Maria Eduarda da Silva Santana, Maria Luysa Teles Barcelar, Juliana Carneiro Gomes, Clarisse Lins de Lima, Maíra Araújo de Santana, Rodrigo Gomes de Souza, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, and Wellington Pinheiro dos Santos9. The Sound of the Mind: Detection of Common Mental Disorders Using Vocal Acoustic Analysis and Machine LearningCaroline Wanderley Espinola, Juliana Carneiro Gomes, Jessiane Mônica Silva Pereira and Wellington P. Santos
520 ## - SUMMARY, ETC.
Summary, etc. This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages ​​such as Python, Java and MATLAB®. Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications. The book is organized into two parts. The first part provides an introduction to swarming algorithms and hybrid techniques. In the second part, real world applications of swarm intelligencearepresentedto illustrate how swarm algorithms can be used in applications of optimization and pattern recognition, reviewing the principal methods and methodologies in swarm intelligence.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Programming / Systems Analysis & Design
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Computer Engineering
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MEDICAL / Biotechnology
Source of heading or term bisacsh
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Swarm intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pinheiro dos Santos, Wellington,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Carneiro Gomes, Juliana,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Augusto de Freitas Barbosa, Valter,
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003190141">https://www.taylorfrancis.com/books/9781003190141</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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