MARC details
000 -LEADER |
fixed length control field |
03388nam a22005055i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
TR-AnTOB |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231115161426.0 |
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 |
220128s2022 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030909031 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-030-90903-1 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TR-AnTOB |
Language of cataloging |
eng |
Transcribing agency |
TR-AnTOB |
Description conventions |
rda |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA1634 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UT |
Source |
bicssc |
|
Subject category code |
TEC007000 |
Source |
bisacsh |
|
Subject category code |
UT |
Source |
thema |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TA1634EBK |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Velasco-Montero, Delia. |
Relator term |
author. |
Authority record control number or standard number |
(orcid)0000-0003-3487-1712 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Visual Inference for IoT Systems: A Practical Approach |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Delia Velasco-Montero, Jorge Fernández-Berni, Angel Rodríguez-Vázquez. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2022. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cham : |
Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 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 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction -- Embedded Vision for the Internet of the Things: State-of-the-Art -- Hardware, Software, and Network Models for Deep-Learning Vision: A Survey -- Optimal Selection of Software and Models for Visual Interference -- Relevant Hardware Metrics for Performance Evaluation -- Prediction of Visual Interference Performance -- A Case Study: Remote Animal Recognition. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Internet of things. |
|
Topical term or geographic name entry element |
Computer vision. |
|
Topical term or geographic name entry element |
Artificial intelligence. |
|
Topical term or geographic name entry element |
Internet of Things. |
|
Topical term or geographic name entry element |
Computer Vision. |
|
Topical term or geographic name entry element |
Artificial Intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Fernández-Berni, Jorge. |
Relator term |
author. |
Authority record control number or standard number |
(orcid)0000-0003-0476-4676 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
|
Personal name |
Rodríguez-Vázquez, Angel. |
Relator term |
author. |
Authority record control number or standard number |
(orcid)0000-0002-1006-5241 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-90903-1">https://doi.org/10.1007/978-3-030-90903-1</a> |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |