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020			_a9783030971137
024	7		_a10.1007/978-3-030-97113-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aComputational Intelligence for Unmanned Aerial Vehicles Communication Networks _cedited by Mariya Ouaissa, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, Syed Bilal Hussain Shah
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 289 páginas) _b108 ilustraciones, 94 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1033
505	0		_aMachine Learning and AI Approach to Improve UAV Communication and Networking- Implementation of Machine Learning Techniques in Unmanned Aerial Vehicle Control and its Various Applications -- Machine Learning Techniques for UAV Trajectory Optimization: A Survey -- .
520			_aThis book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks. This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond. This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used. This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communication network optimization, security, and anomaly detection.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9667210 _aDrones
700	1		_aOuaissa, Mariya _eeditor literario _0(orcid)0000-0002-0088-3742 _1https://orcid.org/0000-0002-0088-3742 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKhan, Inam Ullah _eeditor literario _0(orcid)0000-0003-3637-6977 _1https://orcid.org/0000-0003-3637-6977 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aOuaissa, Mariyam _eeditor literario _0(orcid)0000-0002-3993-8405 _1https://orcid.org/0000-0002-3993-8405 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBoulouard, Zakaria _eeditor literario _0(orcid)0000-0002-4891-3760 _1https://orcid.org/0000-0002-4891-3760 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHussain Shah, Syed Bilal _eeditor literario _0(orcid)0000-0003-3340-1161 _1https://orcid.org/0000-0003-3340-1161 _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030971120
776	0	8	_iPrinted edition: _z9783030971144
776	0	8	_iPrinted edition: _z9783030971151
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97113-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _eIG _zSI