Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques

by Hauwa Mohammed Mustafa, Gasim Hayder

Overview

Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies. It discusses practical applications and experiences utilizing phytoremediation methods for environmental sustainability and the remediation of wastewater. It also examines the various interrelated disciplines relating to phytoremediation technologies and plots industry’s best practices to share this technology widely, as well as the latest findings and strategies. It serves as a nexus between artificial intelligence, environmental sustainability and bioremediation for advanced students and practising professionals in the field.

Product Details

ISBN-13:	9781000843965
Publisher:	CRC Press
Publication date:	03/30/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	162
File size:	13 MB
Note:	This product may take a few minutes to download.

About the Author

Hauwa Mohammed Mustafa is an Academic Lecturer in the Department of Pure and Applied Chemistry, Kaduna State University (KASU), Nigeria. She obtained her Doctorate Degree from Universiti Tenaga Nasional (UNITEN), Malaysia. Her research areas focus on Wastewater Treatment, Bioenergy, IoT, Artificial Intelligence, and Material Science.

Gasim Hayder is a Senior Lecturer and the Head of the Water & Environmental Engineering Unit at the Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional (UNITEN), Malaysia. He is also a Chartered Engineer-MIET (CEng) from the Engineering Council (UK). He received his Ph.D. in Civil Engineering from Universiti Teknologi PETRONAS (UTP), Malaysia. His research focus is in the field of Environmental Engineering and Water and Wastewater Assessment, Treatment, Modelling, and Monitoring.

Table of Contents

1. Impacts of Sustainable Development Goals (SDG) in Wastewater Management; 2. Solving the Shortage of Clean Water through Wastewater Treatment; 3. Microalgae Cultivation for Wastewater Treatment and Bioenergy Generation; 4. Cultivation of Aquatic Plants for Wastewater Treatment; 5. Phytoremediation of Wastewater in Hydroponic Systems; 6. Water Quality Monitoring in Wastewater Phytoremediation; 7. Water Quality Monitoring Using Internet of Things (IoT); 8. Machine Learning Techniques in Water Quality Monitoring; 9. Case Study: Monitoring and Evaluation of Phytoremediation System Using Internet of Things (IoT) and Machine Learning Techniques; 10. Case Study: Emerging Black Box System Identification Model with Neuro-Boasting Machine Learning Techniques for Experimental Validation of Phytoremediation of Wastewater: A Data Intelligent Approach.