國立虎尾科技大學 |

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Intelligence and Data Analytics for Sustainable Future Smart Cities/ edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan.
other author:	Ghosh, Uttam.
Description:	XI, 411 p. 178 illus., 122 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-72065-0
ISBN:	9783030720650

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities[electronic resource] /edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan. - 1st ed. 2021. - XI, 411 p. 178 illus., 122 illus. in color.online resource. - Studies in Computational Intelligence,9711860-9503 ;. - Studies in Computational Intelligence,564.

Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities -- Role of Machine Learning In Weather Related Event Predictions For A Smart City -- Applying Mobile based Community Participation Model in Smart Cities -- Digital Transformation to Build Smart Cities -- Rapid IoT Prototyping -- Fuzzy Dynamic Airspace Sectorization Problem -- Virtualization Technology for LoRaWAN Roaming Simulation in Smart-Cities -- Development of a IoT Based System for Mitigate the Impact of COVID-19 in Smart Cities -- Machine Learning based Cyber-security Defense at the Age of Industry 4.0 -- Software-Defined Location Privacy Protection for Vehicular Networks.

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

ISBN: 9783030720650

Standard No.: 10.1007/978-3-030-72065-0doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
LDR:02746nam a22004095i 4500 001 1055038
003 DE-He213
005 20211015075215.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030720650 $9 978-3-030-72065-0
024 7 $a 10.1007/978-3-030-72065-0 $2 doi
035 $a 978-3-030-72065-0
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Intelligence and Data Analytics for Sustainable Future Smart Cities $h [electronic resource] / $c edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XI, 411 p. 178 illus., 122 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 Studies in Computational Intelligence, $x 1860-9503 ; $v 971
505 0 $a Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities -- Role of Machine Learning In Weather Related Event Predictions For A Smart City -- Applying Mobile based Community Participation Model in Smart Cities -- Digital Transformation to Build Smart Cities -- Rapid IoT Prototyping -- Fuzzy Dynamic Airspace Sectorization Problem -- Virtualization Technology for LoRaWAN Roaming Simulation in Smart-Cities -- Development of a IoT Based System for Mitigate the Impact of COVID-19 in Smart Cities -- Machine Learning based Cyber-security Defense at the Age of Industry 4.0 -- Software-Defined Location Privacy Protection for Vehicular Networks.
520 $a This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
650 0 $a Computational intelligence. $3 568984
650 0 $a Machine learning. $3 561253
650 0 $a Computer engineering. $3 569006
650 0 $a Internet of things. $3 1023130
650 0 $a Embedded computer systems. $3 562313
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Cyber-physical systems, IoT. $3 1226036
700 1 $a Ghosh, Uttam. $e editor. $1 https://orcid.org/0000-0003-1698-8888 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1352257
700 1 $a Maleh, Yassine. $e editor. $1 https://orcid.org/0000-0003-4704-5364 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1349665
700 1 $a Alazab, Mamoun. $e editor. $1 https://orcid.org/0000-0002-1928-3704 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1309526
700 1 $a Pathan, Al-Sakib Khan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 864567
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030720643
776 0 8 $i Printed edition: $z 9783030720667
776 0 8 $i Printed edition: $z 9783030720674
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-72065-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)