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020			_a9783031042317
024	7		_a10.1007/978-3-031-04231-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.583 _b2022 EB
245	0	0	_aEdge Computing and IoT: Systems, Management and Security : _bSecond EAI International Conference, ICECI 2021, Virtual Event, December 22-23, 2021, Proceedings _cedited by Kaishun Wu, Lu Wang, Yanjiao Chen
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (X, 137 páginas) _b66 ilustraciones, 48 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering _x1867-822X _v437
505	0		_aAn Improved Audio Processing Method for Campus Broadcast System -- Committee Selection Based on Game Theory in Sharding Blockchain -- Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data -- Matching with Externalities for Device Assignment in IoT Sharding Blockchain -- Openflow-extended Queue Scheduling for Multi-tenants in Access Network -- Research and Improvement on detection algorithm of SCMA System -- A Survey of Adversarial Attacks on Wireless Communications -- Adversarial Examples in Wireless Networks: A Comprehensive Survey -- Headmotion: Human-machine interaction requires only your head movement -- Implementation of the bone grid reconstruction based on CT data -- Intelligent Vocal Training Assistant System -- Wearable-based Human Emotion Inference System. .
520			_aThis book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
988			_aSpringer_Computer_2022
650		7	_2embne _9666053 _aComputación ubicua _vCongresos y asambleas
650		7	_2embne _9483083 _aInternet de los objetos _vCongresos y asambleas
650		7	_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas
700	1		_aWu, Kaishun _eeditor literario _0(orcid)0000-0003-2216-0737 _1https://orcid.org/0000-0003-2216-0737 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWang, Lu _eeditor literario _0(orcid)0000-0001-6345-3873 _1https://orcid.org/0000-0001-6345-3873 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChen, Yanjiao _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031042300
776	0	8	_iPrinted edition: _z9783031042324
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04231-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eIG _zSI