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Positioning and Navigation Using Machine Learning Methods (Record no. 63486)

MARC details
000 -LEADER
fixed length control field 03629nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-981-97-6199-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030113050.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240917s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819761999
-- 978-981-97-6199-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-97-6199-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5101-5105.9
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJK
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC041000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJK
Source thema
245 10 - TITLE STATEMENT
Title Positioning and Navigation Using Machine Learning Methods
Medium [electronic resource] /
Statement of responsibility, etc. edited by Kegen Yu.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent X, 374 p. 187 illus., 153 illus. in color.
Other physical details online resource.
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
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Navigation: Science and Technology,
International Standard Serial Number 2522-0462 ;
Volume/sequential designation 14
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction -- Chapter 2. Indoor localization using ranging model constructed with BP neural network -- Chapter 3. Classification of signal propagation channel using CNN and wavelet packet analysis -- Chapter 4. Semi supervised indoor localization -- Chapter 5. Unsupervised learning for practical indoor localization -- Chapter 6. Deep learning based PDR localization using smartphone sensors and GPS data -- Chapter 7. Deductive reinforcement learning for vehicle navigation -- Chapter 8. Privacy preserving aggregation for federated learning based navigation -- Chapter 9. Learning enhanced INS/GPS integrated navigation -- Chapter 10. UAV localization using deep supervised learning and reinforcement learning -- Chapter 11. Learning based UAV path planning with collision avoidance -- Chapter 12. Learning assisted navigation for planetary rovers -- Chapter 13. Improved planetary rover localization using slip based autonomous ZUPT.
520 ## - SUMMARY, ETC.
Summary, etc. This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yu, Kegen.
Relator term editor.
Authority record control number (orcid)0000-0001-7710-3073
-- https://orcid.org/0000-0001-7710-3073
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 84551
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819761982
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819762002
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819762019
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Navigation: Science and Technology,
International Standard Serial Number 2522-0462 ;
Volume number/sequential designation 14
9 (RLIN) 84552
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-97-6199-9">https://doi.org/10.1007/978-981-97-6199-9</a>
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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