000 04541nam a22004815i 4500
999 _c362419
_d362419
001 362419
003 ES-MaUEC
005 20240111050218.0
006 a||||fo|||| 00| 0
007 cr nn 008mamaa
008 210528s2021 sz | s |||| 0|eng d
020 _a9783030763466
024 7 _a10.1007/978-3-030-76346-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ334
_b2021 EB
245 1 0 _aProceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)
_cedited by Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi.
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XX, 857 páginas)
_b346 ilustraciones, 241 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5365
_v1377
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aCOVID-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 3 _aThis 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.
988 _aSpringer_Robotics_2021
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aHassanien, Aboul-Ella
_eeditor literario
_0(orcid)0000-0002-9989-6681
_1https://orcid.org/0000-0002-9989-6681
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997150
700 _aHaqiq, Abdelkrim
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681922
700 1 _aTonellato, Peter J.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9682367
700 1 _aBellatreche, Ladjel,
_eeditor literario
_0(orcid)0000-0001-9968-0066
_1https://orcid.org/0000-0001-9968-0066
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9682368
_d1968-
700 1 _aGoundar, Sam,
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9682369
_d1967-
700 1 _aAzar, Ahmad Taher
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998856
700 _aSabir, Essaïd.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9101086
700 _aBouzidi, Driss
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9682370
776 0 8 _iPrinted edition:
_z9783030763459
776 0 8 _iPrinted edition:
_z9783030763473
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76346-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE