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008			230112s2022 si | s |||| 0|eng d
020			_a9789811921841
024	7		_a10.1007/978-981-19-2184-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1145 _b2022 EB
245	0	0	_aAI Enabled IoT for Electrification and Connected Transportation _cedited by Naveenkumar Marati, Akash Kumar Bhoi, Victor Hugo C. De Albuquerque, Akhtar Kalam
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 250 páginas) _b151 ilustraciones, 106 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	1		_aTransactions on Computer Systems and Networks _x2730-7492
505	0		_aIntroduction -- Autonomous Driving System -- Smart Parking System and its Applications -- Advanced AI Algorithms for Battery Managements Systems -- Machine learning based algorithms for motor control / Prognostics and Diagnostics in EV Applications.
520			_aThis book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment.
988			_aSpringer_Engineering_2022
650		7	_2embne _9144847 _aIngeniería de tráfico
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aMarati, Naveenkumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBhoi, Akash Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDe Albuquerque, Victor Hugo C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKalam, Akhtar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811921834
776	0	8	_iPrinted edition: _z9789811921858
776	0	8	_iPrinted edition: _z9789811921865
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2184-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI