國立高雄大學圖資館 |

登入

回首頁

Computer vision and machine intelligenceproceedings of CVMI 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision and machine intelligenceedited by Massimo Tistarelli ... [et al.].
其他題名:	proceedings of CVMI 2022 /
其他題名:	CVMI 2022
其他作者:	Tistarelli, Massimo.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	1 online resource (xxviii, 777 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer vision
電子資源:	https://doi.org/10.1007/978-981-19-7867-8
ISBN:	9789811978678$q(electronic bk.)

Computer vision and machine intelligenceproceedings of CVMI 2022 /
Computer vision and machine intelligenceproceedings of CVMI 2022 /[electronic resource] :CVMI 2022edited by Massimo Tistarelli ... [et al.]. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xxviii, 777 p.) :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 5862367-3389 ;. - Lecture notes in networks and systems ;v.1..

Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.

This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022) The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain.

ISBN: 9789811978678$q(electronic bk.)

Standard No.: 10.1007/978-981-19-7867-8doiSubjects--Topical Terms:

253837
Computer vision

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Computer vision and machine intelligenceproceedings of CVMI 2022 /
LDR:01939nmm a2200349 a 4500 001 637924
003 DE-He213
005 20230505172547.0
006 m d
007 cr nn 008maaau
008 230921s2023 si s 0 eng d
020 $a 9789811978678$q(electronic bk.)
020 $a 9789811978661$q(paper)
024 7 $a 10.1007/978-981-19-7867-8 $2 doi
035 $a 978-981-19-7867-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .I61 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computer vision and machine intelligence $h [electronic resource] : $b proceedings of CVMI 2022 / $c edited by Massimo Tistarelli ... [et al.].
246 3 $a CVMI 2022
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a 1 online resource (xxviii, 777 p.) : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 586
505 0 $a Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
520 $a This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022) The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain.
650 0 $a Computer vision $3 253837
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Computer Vision. $3 913138
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Tistarelli, Massimo. $3 284748
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-981-19-7867-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)