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020 _a9789811921841
024 7 _a10.1007/978-981-19-2184-1
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTA1145
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
090 _aTA1145EBK
245 1 0 _aAI Enabled IoT for Electrification and Connected Transportation
_h[electronic resource] /
_cedited by Naveenkumar Marati, Akash Kumar Bhoi, Victor Hugo C. De Albuquerque, Akhtar Kalam.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aTelecommunication.
650 0 _aApplication software.
650 0 _aTransportation engineering.
650 0 _aTraffic engineering.
650 0 _aAutomotive engineering.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aTransportation Technology and Traffic Engineering.
650 2 4 _aAutomotive Engineering.
653 0 _aArtificial intelligence
653 0 _aElectricity in transportation
653 0 _aInternet of things
700 1 _aMarati, Naveenkumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBhoi, Akash Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDe Albuquerque, Victor Hugo C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKalam, Akhtar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aTransactions on Computer Systems and Networks,
_x2730-7492
856 4 0 _uhttps://doi.org/10.1007/978-981-19-2184-1
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK