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Innovations in machine learning and ...

Dubey, Ashutosh Kumar ((Computer scientist).)

Innovations in machine learning and IoT for water management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovations in machine learning and IoT for water managementAbhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas.
其他題名:	Innovations in machine learning and Internet of Things for water management
其他作者:	Kumar, Abhishek,
出版者:	Hershey, PA :Engineering Science Reference, an imprint of IGI Global,2024.
面頁冊數:	1 online resource (xix, 312 p.) :ill. (some col.)
標題:	Water-supplyManagement
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1194-3
ISBN:	9798369311950$q(electronic book)

Innovations in machine learning and IoT for water management
Innovations in machine learning and IoT for water management[electronic resource] /Innovations in machine learning and Internet of Things for water managementAbhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas. - Hershey, PA :Engineering Science Reference, an imprint of IGI Global,2024. - 1 online resource (xix, 312 p.) :ill. (some col.) - Advances in civil and industrial engineering (ACIE) book series. - Advances in civil and industrial engineering (ACIE) book series..

Includes bibliographical references and index.

Chapter 1. Introduction to ML and IoT for water management -- Chapter 2. A comprehensive exploration of machine learning and IoT applications for transforming water management -- Chapter 3. Artificial intelligence for water resourceplanning and management -- Chapter 4. Forecasting weather and water management through machine learning -- Chapter 5. Optimizing water resources with IoT and ML: a water management system -- Chapter 6. Utilizing machine learning for enhanced weather forecasting and sustainable water resource management -- Chapter 7. AI-based smart water quality monitoring and wastewater management: an integrated bio-computational approach -- Chapter 8. Revolutionizing water quality monitoring: the smart tech frontier -- Chapter 9. Data-driven aquatics: the future of water management with IoT and machine learning -- Chapter 10. Detection of ephemeral sand river flow using hybrid sandpiper optimization-based CNN model -- Chapter11. Design of IoT-based automatic rain-gauge radar system for rainfall intensity monitoring -- Chapter 12. Empowering safety by embracing IoT for leak detection excellence -- Chapter 13. Using augmented reality (AR) and the internet of things (IoT) to improve water management maintenance and training.

"This book investigates the revolutionary potential of ML and IoT technologies in addressing various difficulties associated with water management"--

ISBN: 9798369311950$q(electronic book)

LCCN: 2023049102Subjects--Topical Terms:

974285
Water-supply
--ManagementIndex Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TD353 / .I496 2024

Dewey Class. No.: 333.9100285/631

Innovations in machine learning and IoT for water management
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260 $a Hershey, PA : $b Engineering Science Reference, an imprint of IGI Global, $c 2024.
300 $a 1 online resource (xix, 312 p.) : $b ill. (some col.)
490 1 $a Advances in civil and industrial engineering (ACIE) book series
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Introduction to ML and IoT for water management -- Chapter 2. A comprehensive exploration of machine learning and IoT applications for transforming water management -- Chapter 3. Artificial intelligence for water resourceplanning and management -- Chapter 4. Forecasting weather and water management through machine learning -- Chapter 5. Optimizing water resources with IoT and ML: a water management system -- Chapter 6. Utilizing machine learning for enhanced weather forecasting and sustainable water resource management -- Chapter 7. AI-based smart water quality monitoring and wastewater management: an integrated bio-computational approach -- Chapter 8. Revolutionizing water quality monitoring: the smart tech frontier -- Chapter 9. Data-driven aquatics: the future of water management with IoT and machine learning -- Chapter 10. Detection of ephemeral sand river flow using hybrid sandpiper optimization-based CNN model -- Chapter11. Design of IoT-based automatic rain-gauge radar system for rainfall intensity monitoring -- Chapter 12. Empowering safety by embracing IoT for leak detection excellence -- Chapter 13. Using augmented reality (AR) and the internet of things (IoT) to improve water management maintenance and training.
520 $a "This book investigates the revolutionary potential of ML and IoT technologies in addressing various difficulties associated with water management"-- $c Provided by publisher.
650 0 $a Water-supply $x Management $x Data processing. $3 974285
650 0 $a Water quality management $x Data processing. $3 974286
650 0 $a Internet of things. $3 670954
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700 1 $a Kumar, Abhishek, $d 1989- $3 974217
700 1 $a Srivastav, Arun Lal, $d 1984- $3 974283
700 1 $a Dubey, Ashutosh Kumar $c (Computer scientist). $3 974284
700 1 $a Dutt, Vishal, $c Dr. $3 974225
700 1 $a Vyas, Narayan, $d 1998- $3 974224
830 0 $a Advances in civil and industrial engineering (ACIE) book series. $3 974247
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