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020 _a9789819912568
024 7 _a10.1007/978-981-99-1256-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ334
_b2023 EB
245 0 0 _aArtificial Intelligence in China :
_bProceedings of the 4th International Conference on Artificial Intelligence in China
_cedited by Qilian Liang, Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na
250 _a1st ed 2023
264 1 _aSingapore
_bSpringer Nature
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aLecture Notes in Electrical Engineering
_x1876-1119
_v871
505 0 _aDeep Learning and Neural Networks -- Machine Learning -- Computer Vision -- Knowledge Representation and Reasoning -- Probabilistic Reasoning -- Statistical Learning -- Reinforcement Learning -- Decision Making -- Fuzzy Systems -- Evolutionary Computing -- Inference and Prediction -- Human-Inspired Learning and Computing -- Autonomous Vehicle -- Data Mining -- Spoken Language Processing -- Pattern Analysis and Recognition -- Robotics -- AI for Sensing -- AI for Communications -- AI for Internet of Things -- AI for Signal Processing -- AI for Education -- AI for Healthcare -- AI for Other Applications.
520 _aThis book brings together papers presented at the 4th International Conference on Artificial Intelligence in China (ChinaAI), Changbaishan, China, on July 23-24, 2022, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).
988 _aSpringer_Computer_2023
650 7 _2embne
_9413115
_aInteligencia artificial
_vCongresos y asambleas
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-1256-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2024
_dz
_ek
_zSI