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Sustainable and green technologies for water and environmental management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sustainable and green technologies for water and environmental management/ edited by Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz.
其他作者:	Azrour, Mourade.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	vii, 277 p. :ill. (some col.), digital ;24 cm.
內容註:	A Comprehensive Survey on IIoT solutions: Challenges and issues -- A review of machine learning for smart building energy management -- A Review of the Artificial Neural Network Models for Water Quality Prediction -- Air Pollution Analysis based Raspberry Pi -- An overview of security and privacy in smart grids based IoT solutions -- Application of artificial neural network modeling for the forecast wastewater treatment -- Big Data for Internet of Things: a comparative study Decision Support System for Water Resources Management -- Edge-based Infrared-ultrasonic Radar System for Robotic Obstacle Tracking, Avoidance and Out-of-Sight Remote Control Applications -- Energy Management for Werless sensors -- Intelligent Urban Transport Decision Analysis System Based Big Data -- IoT and Reality Mining for Real-Time flood Prediction -- IoT based WSN for Air Pollution Monitoring -- IoT solutions for smart irrigation monitoring -- SMART Agriculture using IoT -- Thermochemical study of the degradation of the panels of wings in a space shuttle by utilization of HSC Chemistry Software and its database.
Contained By:	Springer Nature eBook
標題:	Water-supply - Management -
電子資源:	https://doi.org/10.1007/978-3-031-52419-6
ISBN:	9783031524196

Sustainable and green technologies for water and environmental management
Sustainable and green technologies for water and environmental management[electronic resource] /edited by Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz. - Cham :Springer Nature Switzerland :2024. - vii, 277 p. :ill. (some col.), digital ;24 cm. - World sustainability series,2199-7381. - World sustainability series..

A Comprehensive Survey on IIoT solutions: Challenges and issues -- A review of machine learning for smart building energy management -- A Review of the Artificial Neural Network Models for Water Quality Prediction -- Air Pollution Analysis based Raspberry Pi -- An overview of security and privacy in smart grids based IoT solutions -- Application of artificial neural network modeling for the forecast wastewater treatment -- Big Data for Internet of Things: a comparative study Decision Support System for Water Resources Management -- Edge-based Infrared-ultrasonic Radar System for Robotic Obstacle Tracking, Avoidance and Out-of-Sight Remote Control Applications -- Energy Management for Werless sensors -- Intelligent Urban Transport Decision Analysis System Based Big Data -- IoT and Reality Mining for Real-Time flood Prediction -- IoT based WSN for Air Pollution Monitoring -- IoT solutions for smart irrigation monitoring -- SMART Agriculture using IoT -- Thermochemical study of the degradation of the panels of wings in a space shuttle by utilization of HSC Chemistry Software and its database.

This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment. These recent technologies cover all fields including agriculture, transportation, smart grid, smart building, and others. In addition, IoT has provided an innovative vision that is completely alternative to the conventional methodologies: the new approach comes in the form of a single-component system that can be connected to the network and can incorporate smart policies. As a consequence, the covered subjects encompass smart system design and control, networking and machine learning, environmental monitoring and surveillance, smart meters, authentication and authorization, ensuring private data security, software solutions, and systems, among others. This book covers subjects that are related to the Internet of Things and smart used tools and methods for fighting environmental problems. Therefore, it discusses recent ideas that are not covered by other competitor books. This book is different because it can be a reference for researchers, professionals, and students in both smart thinking and environmental domains.

ISBN: 9783031524196

Standard No.: 10.1007/978-3-031-52419-6doiSubjects--Topical Terms:

3714970
Water-supply
--Management

LC Class. No.: TD353

Dewey Class. No.: 363.61

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505 0 $a A Comprehensive Survey on IIoT solutions: Challenges and issues -- A review of machine learning for smart building energy management -- A Review of the Artificial Neural Network Models for Water Quality Prediction -- Air Pollution Analysis based Raspberry Pi -- An overview of security and privacy in smart grids based IoT solutions -- Application of artificial neural network modeling for the forecast wastewater treatment -- Big Data for Internet of Things: a comparative study Decision Support System for Water Resources Management -- Edge-based Infrared-ultrasonic Radar System for Robotic Obstacle Tracking, Avoidance and Out-of-Sight Remote Control Applications -- Energy Management for Werless sensors -- Intelligent Urban Transport Decision Analysis System Based Big Data -- IoT and Reality Mining for Real-Time flood Prediction -- IoT based WSN for Air Pollution Monitoring -- IoT solutions for smart irrigation monitoring -- SMART Agriculture using IoT -- Thermochemical study of the degradation of the panels of wings in a space shuttle by utilization of HSC Chemistry Software and its database.
520 $a This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment. These recent technologies cover all fields including agriculture, transportation, smart grid, smart building, and others. In addition, IoT has provided an innovative vision that is completely alternative to the conventional methodologies: the new approach comes in the form of a single-component system that can be connected to the network and can incorporate smart policies. As a consequence, the covered subjects encompass smart system design and control, networking and machine learning, environmental monitoring and surveillance, smart meters, authentication and authorization, ensuring private data security, software solutions, and systems, among others. This book covers subjects that are related to the Internet of Things and smart used tools and methods for fighting environmental problems. Therefore, it discusses recent ideas that are not covered by other competitor books. This book is different because it can be a reference for researchers, professionals, and students in both smart thinking and environmental domains.
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