國立高雄大學圖資館 |

Language: English

Back

Machine learning techniques for smart city applications: trends and solutions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning techniques for smart city applications: trends and solutionsedited by D. Jude Hemanth.
other author:	Hemanth, D. Jude.
Published:	Cham :Springer International Publishing :2022.
Description:	viii, 226 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Smart cities.
Online resource:	https://doi.org/10.1007/978-3-031-08859-9
ISBN:	9783031088599$q(electronic bk.)

Machine learning techniques for smart city applications: trends and solutions
Machine learning techniques for smart city applications: trends and solutions[electronic resource] /edited by D. Jude Hemanth. - Cham :Springer International Publishing :2022. - viii, 226 p. :ill. (chiefly color), digital ;24 cm. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development,2522-8722. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development..

Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context -- Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids -- Helping Hand: A GMM Based Real time Assistive Device for Disabled Using Hand Gestures -- A Review on Hand Gesture and Sign Language Techniques for Hearing Impaired Person -- DriveSense: Adaptive System for Driving Behaviour Analysis and Ranking -- Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles -- Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna -- Wavelet based Saliency and Ensemble Classifier for Pedestrian Detection in Infrared Images -- A Survey of Emerging Applications of Machine Learning in the Diagnosis and Management of Sleep Hygiene and Health in the Elderly Population -- Smart City Traffic Patterns Prediction Using Machine Learning.

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

ISBN: 9783031088599$q(electronic bk.)

Standard No.: 10.1007/978-3-031-08859-9doiSubjects--Topical Terms:

820761
Smart cities.

LC Class. No.: TD159.4 / .M33 2022

Dewey Class. No.: 307.760285

Machine learning techniques for smart city applications: trends and solutions
LDR:02677nmm a2200337 a 4500 001 630421
003 DE-He213
005 20220919134043.0
006 m d
007 cr nn 008maaau
008 230329s2022 sz s 0 eng d
020 $a 9783031088599$q(electronic bk.)
020 $a 9783031088582$q(paper)
024 7 $a 10.1007/978-3-031-08859-9 $2 doi
035 $a 978-3-031-08859-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TD159.4 $b .M33 2022
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 307.760285 $2 23
090 $a TD159.4 $b .M149 2022
245 0 0 $a Machine learning techniques for smart city applications: trends and solutions $h [electronic resource] / $c edited by D. Jude Hemanth.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 226 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development, $x 2522-8722
505 0 $a Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context -- Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids -- Helping Hand: A GMM Based Real time Assistive Device for Disabled Using Hand Gestures -- A Review on Hand Gesture and Sign Language Techniques for Hearing Impaired Person -- DriveSense: Adaptive System for Driving Behaviour Analysis and Ranking -- Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles -- Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna -- Wavelet based Saliency and Ensemble Classifier for Pedestrian Detection in Infrared Images -- A Survey of Emerging Applications of Machine Learning in the Diagnosis and Management of Sleep Hygiene and Health in the Elderly Population -- Smart City Traffic Patterns Prediction Using Machine Learning.
520 $a This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.
650 0 $a Smart cities. $3 820761
650 0 $a Machine learning. $3 188639
650 1 4 $a Machine Learning. $3 833608
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Intelligence Infrastructure. $3 920218
650 2 4 $a Health Policy. $3 238708
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
650 2 4 $a Logistics. $3 200159
700 1 $a Hemanth, D. Jude. $3 806491
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development. $3 803279
856 4 0 $u https://doi.org/10.1007/978-3-031-08859-9
950 $a Earth and Environmental Science (SpringerNature-11646)