國立高雄大學圖資館 |

Language: English

Back

IoT and WSN based smart citiesa machine learning perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	IoT and WSN based smart citiesedited by Shalli Rani, Vyasa Sai, R. Maheswar.
Reminder of title:	a machine learning perspective /
other author:	Rani, Shalli.
Published:	Cham :Springer International Publishing :2022.
Description:	x, 284 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-3-030-84182-9
ISBN:	9783030841829$q(electronic bk.)

IoT and WSN based smart citiesa machine learning perspective /
IoT and WSN based smart citiesa machine learning perspective /[electronic resource] :edited by Shalli Rani, Vyasa Sai, R. Maheswar. - Cham :Springer International Publishing :2022. - x, 284 p. :ill. (chiefly col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Chapter 1. Protocol Design for Earthquake Alert and Evacuation in Smart Buildings -- Chapter 2. Impact of Internet of Things and Clinical Decision Support System in Healthcare -- Chapter 3. Smart Healthcare Support Using Data Mining and Machine Learning -- Chapter 4. Window Functions for Phasor Signal Processing of Wide Area Measurement in Smart Grid Communications -- Chapter 5. Facens Smart Campus Integrated Dashboard: A Use case applied for Energy Efficiency -- Chapter 6. Cloud Internet of Things in Medical and Smart Healthcare Applications -- Chapter 7. Tornado Forecast Visualization for Effective Rescue Planning -- Chapter 8. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities-Part I -- Chapter 9. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities: Part II -- Chapter 10. A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using IO -- Chapter 11. Design of a WSN Platform for Internet of Things Applications -- Chapter 12. Performance Analysis of Modulation Techniques over an Smart City Optical Communication Channel under Weak Atmospheric Turbulence -- Chapter 13. Towards Secure Cyber Infrastructure for SmartCities: Learning based Intelligent Solutions -- Chapter 14. Utilizing ICN caching for IoT big data management in WSN based vehicular networks -- Chapter 15. Integration of WSN and IoT: Its Applications and Technologies? -- Chapter 16. Choice Based Recreation Facility for Smart Cities.

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning. Explores various applications to show how machine learning is helping to maintain and secure smart cities; Includes developments on how applying machine learning to IoT and WSN can help in monitoring, privacy, and reliability of smart cities; Provides a platform for researchers and professionals to explore applications of IoT for smart cities.

ISBN: 9783030841829$q(electronic bk.)

Standard No.: 10.1007/978-3-030-84182-9doiSubjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857 / .I67 2022

Dewey Class. No.: 004.678

IoT and WSN based smart citiesa machine learning perspective /
LDR:03663nmm a2200337 a 4500 001 621167
003 DE-He213
005 20220530093941.0
006 m d
007 cr nn 008maaau
008 221121s2022 sz s 0 eng d
020 $a 9783030841829$q(electronic bk.)
020 $a 9783030841812$q(paper)
024 7 $a 10.1007/978-3-030-84182-9 $2 doi
035 $a 978-3-030-84182-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.8857 $b .I67 2022
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 004.678 $2 23
090 $a TK5105.8857 $b .I64 2022
245 0 0 $a IoT and WSN based smart cities $h [electronic resource] : $b a machine learning perspective / $c edited by Shalli Rani, Vyasa Sai, R. Maheswar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 284 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8609
505 0 $a Chapter 1. Protocol Design for Earthquake Alert and Evacuation in Smart Buildings -- Chapter 2. Impact of Internet of Things and Clinical Decision Support System in Healthcare -- Chapter 3. Smart Healthcare Support Using Data Mining and Machine Learning -- Chapter 4. Window Functions for Phasor Signal Processing of Wide Area Measurement in Smart Grid Communications -- Chapter 5. Facens Smart Campus Integrated Dashboard: A Use case applied for Energy Efficiency -- Chapter 6. Cloud Internet of Things in Medical and Smart Healthcare Applications -- Chapter 7. Tornado Forecast Visualization for Effective Rescue Planning -- Chapter 8. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities-Part I -- Chapter 9. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities: Part II -- Chapter 10. A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using IO -- Chapter 11. Design of a WSN Platform for Internet of Things Applications -- Chapter 12. Performance Analysis of Modulation Techniques over an Smart City Optical Communication Channel under Weak Atmospheric Turbulence -- Chapter 13. Towards Secure Cyber Infrastructure for SmartCities: Learning based Intelligent Solutions -- Chapter 14. Utilizing ICN caching for IoT big data management in WSN based vehicular networks -- Chapter 15. Integration of WSN and IoT: Its Applications and Technologies? -- Chapter 16. Choice Based Recreation Facility for Smart Cities.
520 $a This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning. Explores various applications to show how machine learning is helping to maintain and secure smart cities; Includes developments on how applying machine learning to IoT and WSN can help in monitoring, privacy, and reliability of smart cities; Provides a platform for researchers and professionals to explore applications of IoT for smart cities.
650 0 $a Internet of things. $3 670954
650 0 $a Wireless sensor networks. $3 376151
650 0 $a Smart cities. $3 820761
650 1 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Computer Engineering and Networks. $3 913124
650 2 4 $a Electrical Power Engineering. $3 919410
700 1 $a Rani, Shalli. $3 737917
700 1 $a Sai, Vyasa. $3 922207
700 1 $a Maheswar, R. $3 837761
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 803446
856 4 0 $u https://doi.org/10.1007/978-3-030-84182-9
950 $a Engineering (SpringerNature-11647)