Computer Vision and Machine Learning for Intelligent Sensing Systems / / edited by Jing Tian.

The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational i...

Full description

Saved in:
Bibliographic Details
TeilnehmendeR:
Place / Publishing House:[Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (244 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993610559204498
ctrlnum (CKB)5470000002907755
(NjHacI)995470000002907755
(EXLCZ)995470000002907755
collection bib_alma
record_format marc
spelling Computer Vision and Machine Learning for Intelligent Sensing Systems / edited by Jing Tian.
[Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute, 2023.
1 online resource (244 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
Machine learning.
Computer science.
Artificial intelligence.
3-0365-7869-2
Tian, Jing, editor.
language English
format eBook
author2 Tian, Jing,
author_facet Tian, Jing,
author2_variant j t jt
author2_role TeilnehmendeR
title Computer Vision and Machine Learning for Intelligent Sensing Systems /
spellingShingle Computer Vision and Machine Learning for Intelligent Sensing Systems /
title_full Computer Vision and Machine Learning for Intelligent Sensing Systems / edited by Jing Tian.
title_fullStr Computer Vision and Machine Learning for Intelligent Sensing Systems / edited by Jing Tian.
title_full_unstemmed Computer Vision and Machine Learning for Intelligent Sensing Systems / edited by Jing Tian.
title_auth Computer Vision and Machine Learning for Intelligent Sensing Systems /
title_new Computer Vision and Machine Learning for Intelligent Sensing Systems /
title_sort computer vision and machine learning for intelligent sensing systems /
publisher MDPI - Multidisciplinary Digital Publishing Institute,
publishDate 2023
physical 1 online resource (244 pages)
isbn 3-0365-7869-2
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q325
callnumber-sort Q 3325.5 C667 42023
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.31
dewey-sort 16.31
dewey-raw 006.31
dewey-search 006.31
work_keys_str_mv AT tianjing computervisionandmachinelearningforintelligentsensingsystems
status_str n
ids_txt_mv (CKB)5470000002907755
(NjHacI)995470000002907755
(EXLCZ)995470000002907755
carrierType_str_mv cr
is_hierarchy_title Computer Vision and Machine Learning for Intelligent Sensing Systems /
author2_original_writing_str_mv noLinkedField
_version_ 1796653283884924928
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01476nam a2200301 i 4500</leader><controlfield tag="001">993610559204498</controlfield><controlfield tag="005">20230816063311.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230816s2023 xx o 000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5470000002907755</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995470000002907755</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995470000002907755</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">Q325.5</subfield><subfield code="b">.C667 2023</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Computer Vision and Machine Learning for Intelligent Sensing Systems /</subfield><subfield code="c">edited by Jing Tian.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified] :</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute,</subfield><subfield code="c">2023.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (244 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer science.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-7869-2</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tian, Jing,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-08-18 03:30:17 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-07-04 13:45:39 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5346846730004498&amp;Force_direct=true</subfield><subfield code="Z">5346846730004498</subfield><subfield code="b">Available</subfield><subfield code="8">5346846730004498</subfield></datafield></record></collection>