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Innovations in machine learning and IoT for water management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Innovations in machine learning and IoT for water management/ Abhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas.
remainder title:	Innovations in machine learning and Internet of Things for water management
other author:	Kumar, Abhishek,
Published:	Hershey, PA :Engineering Science Reference, an imprint of IGI Global, : 2024.,
Description:	1 online resource (xix, 312 p.) :ill. (some col.) :
Subject:	Water-supply - Management -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1194-3
ISBN:	9798369311950

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

LCCN: 2023049102Subjects--Topical Terms:

1458870
Water-supply
--ManagementIndex Terms--Genre/Form:

554714
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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245 0 0 $a Innovations in machine learning and IoT for water management $h [electronic resource] / $c Abhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas.
246 3 $a Innovations in machine learning and Internet of Things for water management
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 1458870
650 0 $a Water quality management $x Data processing. $3 1458871
650 0 $a Internet of things. $3 1023130
650 0 $a Machine learning. $3 561253
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Kumar, Abhishek, $d 1989- $3 1458804
700 1 $a Srivastav, Arun Lal, $d 1984- $3 1458868
700 1 $a Dubey, Ashutosh Kumar $c (Computer scientist). $3 1458869
700 1 $a Dutt, Vishal, $c Dr. $3 1458812
700 1 $a Vyas, Narayan, $d 1998- $3 1458811
830 0 $a Advances in civil and industrial engineering (ACIE) book series. $3 1458834
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1194-3