Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
AI Enabled IoT for Electrification and Connected Transportation
Record Type:
Language materials, printed : Monograph/item
Title/Author:
AI Enabled IoT for Electrification and Connected Transportation/ edited by Naveenkumar Marati, Akash Kumar Bhoi, Victor Hugo C. De Albuquerque, Akhtar Kalam.
other author:
Marati, Naveenkumar.
Description:
XIV, 250 p. 151 illus., 106 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Telecommunication. -
Online resource:
https://doi.org/10.1007/978-981-19-2184-1
ISBN:
9789811921841
AI Enabled IoT for Electrification and Connected Transportation
AI Enabled IoT for Electrification and Connected Transportation
[electronic resource] /edited by Naveenkumar Marati, Akash Kumar Bhoi, Victor Hugo C. De Albuquerque, Akhtar Kalam. - 1st ed. 2022. - XIV, 250 p. 151 illus., 106 illus. in color.online resource. - Transactions on Computer Systems and Networks,2730-7492. - Transactions on Computer Systems and Networks,.
Introduction -- 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.
This 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.
ISBN: 9789811921841
Standard No.: 10.1007/978-981-19-2184-1doiSubjects--Topical Terms:
568341
Telecommunication.
LC Class. No.: TK5101-5105.9
Dewey Class. No.: 621.382
AI Enabled IoT for Electrification and Connected Transportation
LDR
:03239nam a22004095i 4500
001
1087163
003
DE-He213
005
20220604064226.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811921841
$9
978-981-19-2184-1
024
7
$a
10.1007/978-981-19-2184-1
$2
doi
035
$a
978-981-19-2184-1
050
4
$a
TK5101-5105.9
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
621.382
$2
23
245
1 0
$a
AI Enabled IoT for Electrification and Connected Transportation
$h
[electronic resource] /
$c
edited by Naveenkumar Marati, Akash Kumar Bhoi, Victor Hugo C. De Albuquerque, Akhtar Kalam.
250
$a
1st ed. 2022.
264
1
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
XIV, 250 p. 151 illus., 106 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Transactions on Computer Systems and Networks,
$x
2730-7492
505
0
$a
Introduction -- 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
$a
This 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
$a
Telecommunication.
$3
568341
650
0
$a
Application software.
$3
528147
650
0
$a
Transportation engineering.
$3
633205
650
0
$a
Traffic engineering.
$3
639529
650
0
$a
Automotive engineering.
$3
1104081
650
1 4
$a
Communications Engineering, Networks.
$3
669809
650
2 4
$a
Computer and Information Systems Applications.
$3
1365732
650
2 4
$a
Transportation Technology and Traffic Engineering.
$3
1069531
650
2 4
$a
Automotive Engineering.
$3
683772
700
1
$a
Marati, Naveenkumar.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1394144
700
1
$a
Bhoi, Akash Kumar.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1282191
700
1
$a
De Albuquerque, Victor Hugo C.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1394145
700
1
$a
Kalam, Akhtar.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
795692
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811921834
776
0 8
$i
Printed edition:
$z
9789811921858
776
0 8
$i
Printed edition:
$z
9789811921865
830
0
$a
Transactions on Computer Systems and Networks,
$x
2730-7492
$3
1352114
856
4 0
$u
https://doi.org/10.1007/978-981-19-2184-1
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login