國立虎尾科技大學 |

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)/ edited by Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi.
其他作者:	Bouzidi, Driss.
面頁冊數:	XX, 857 p. 346 illus., 241 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-76346-6
ISBN:	9783030763466

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)[electronic resource] /edited by Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi. - 1st ed. 2021. - XX, 857 p. 346 illus., 241 illus. in color.online resource. - Advances in Intelligent Systems and Computing,13772194-5365 ;. - Advances in Intelligent Systems and Computing,335.

COVID-19 X-rays Model Detection Using Convolution Neural Network -- Deep Learning Models Using Auxiliary Classifier GAN for Covid-19 Detection – a Comparative Study -- Feature Pyramid Network for COVID-19 Pneumonia Detection from Chest X-rays Images -- Explore the Relationship Between COVID-19 Testing Rates with the Number of Cases -- Deep Learning Method for Bone Abnormality Detection Using Multi-view X-rays -- A Deep Autoencoder based Multi-Criteria Recommender System -- Review on Supervised and Unsupervised Deep Learning Techniques for Hyperspectral Images Classification -- The Impact of COVID-19 on E-learning: Advantages and Challenges -- Commodity Image Retrieval Based on Convolutional Neural Network and Late Fusion -- Convolutional Neural Network for Fire Video Image Detection in the Thermal Power Plant.

This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications. .

ISBN: 9783030763466

Standard No.: 10.1007/978-3-030-76346-6doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)
LDR:03418nam a22003975i 4500 001 1054909
003 DE-He213
005 20210921204750.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030763466 $9 978-3-030-76346-6
024 7 $a 10.1007/978-3-030-76346-6 $2 doi
035 $a 978-3-030-76346-6
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) $h [electronic resource] / $c edited by Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XX, 857 p. 346 illus., 241 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Intelligent Systems and Computing, $x 2194-5365 ; $v 1377
505 0 $a COVID-19 X-rays Model Detection Using Convolution Neural Network -- Deep Learning Models Using Auxiliary Classifier GAN for Covid-19 Detection – a Comparative Study -- Feature Pyramid Network for COVID-19 Pneumonia Detection from Chest X-rays Images -- Explore the Relationship Between COVID-19 Testing Rates with the Number of Cases -- Deep Learning Method for Bone Abnormality Detection Using Multi-view X-rays -- A Deep Autoencoder based Multi-Criteria Recommender System -- Review on Supervised and Unsupervised Deep Learning Techniques for Hyperspectral Images Classification -- The Impact of COVID-19 on E-learning: Advantages and Challenges -- Commodity Image Retrieval Based on Convolutional Neural Network and Late Fusion -- Convolutional Neural Network for Fire Video Image Detection in the Thermal Power Plant.
520 $a This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications. .
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Engineering. $3 1226308
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Artificial intelligence. $3 559380
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computational intelligence. $3 568984
700 1 $a Bouzidi, Driss. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1360054
700 1 $a Sabir, Essaid. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106047
700 1 $a Azar, Ahmad Taher. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1064152
700 1 $a Goundar, Sam. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1360053
700 1 $a Bellatreche, Ladjel. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 815621
700 1 $a Tonellato, Peter J. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1360052
700 1 $a Haqiq, Abdelkrim. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1280650
700 1 $a Hassanien, Aboul Ella. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 566871
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030763459
776 0 8 $i Printed edition: $z 9783030763473
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-3-030-76346-6
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)