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Internet of Things and Green Technologies for Smart Environment -

Internet of Things and Green Technologies for Smart Environment

Buch | Hardcover
304 Seiten
2026
CRC Press (Verlag)
978-1-041-14640-7 (ISBN)
CHF 239,95 inkl. MwSt
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The text covers essential aspects such as the design and control of smart systems, advanced networking techniques, and the application of machine learning for predictive analytics. It discusses the analysis and prediction of hydrogen yield using artificial neural networks.
The book showcases the usage of the Internet of Things (IoT) for new applications in a smart environment. It further discusses the recent innovations and applications of artificial intelligence for managing environmental resources.

Key Features:



Showcases how artificial intelligence and deep learning technologies can be applied to large-scale data analysis for environment monitoring, enabling accurate follow-up of critical ecosystem health.
Discusses energy performance strategies and includes a wide range of strategies and technologies designed to reduce energy consumption and promote new energy production.
Presents IoT innovative solutions that largely enhance environmental quality by enabling smart monitoring, data collection, and real-time analysis.
Highlights how artificial intelligence is transforming energy management by providing new innovative solutions that optimize energy use, enhance efficiency, and facilitate the integration of renewable energy resources.
Illustrates sustainable technologies and solutions that seek to decrease energy usage, minimize waste, and reduce carbon footprints through the careful utilization of natural resources over the entire computing system.

This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

Mourade Azrour received his PhD from Faculty of Sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in Computer and Distributed Systems from the Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. He currently works as a computer science professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include authentication protocol, computer security, Internet of Things, smart systems, machine learning and so on. He is a member of the scientific committees of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 160 scientific papers and book chapters. He has edited more than ten scientific books, such as IoT and Smart Devices for Sustainable Environment and Advanced Technology for Smart Environment and Energy. He has also served as a guest editor in journals such as EAI Endorsed Transactions on Internet of Things, Tsingua Science and Technology, Applied Sciences MDPI, and Sustainability MDPI. Abdulatif Alabdulatif is an assistant professor at the School of Computer Science & IT, Qassim University, Saudi Arabia. He obtained his PhD degree in Computer Science from RMIT University, Australia, in 2018. He received his BSc in Computer Science from Qassim University, Saudi Arabia, in 2008 and his MSc in Computer Science from RMIT University, Australia in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and e-health.

About the Editors

List of Contributors

Chapter 1. Wastewater and Sustainability: Emerging Technologies and Integrated Solutions

Achraf El Allaoui Achraf, Loubna El Ansari, Atae Semmar, Wafaa Dachry, Hassan Gziri, and Hicham Medromi

Chapter 2: Quantum Computing and Instrumentation for Smart Sustainable Agriculture

Nagamani Prabu Arumugam, M.M. Karthikeyan, and Keerthivasan Krishnamoorthy

Chapter 3: IoT for Wastewater Monitoring in a Smart Environment

Lekhavani Ramesh, Suguna Krishnamoorthy, Ramalakshmi Subbarayalu, Vinayagam Mohanavel, Vishnu Raja Vijayakumar, Sathish Kannan, Pavithiradevi Thangarasu, and Mourade Azrour

Chapter 4 : From Waste to Resource: IoT-Driven Green Solutions for Wastewater Reuse

Jaya Prakash Nagaraj, Senthilkumar Subramaniam, Velmurugan Ramasamy, Sudarvel Jeyaraj and Mourade Azrour

Chapter 5: Internet of Things for Wastewater Monitoring in Smart Environment

Shende Amit Basveshwar, Goswami Bhargavi, Murugesan Mohana Kerthi, and Mourade Azrour

Chapter 6: Advancing Environmental Sustainability through Integrated IoT, Machine Learning, and Renewable Energy Systems

Nagamani Prabu Arumugam, Balachander Kalappan, and Keerthivasan Krishnamoorthy

Chapter 7: Internet of Things-Based Air Quality Monitoring Systems

Suguna Krishnamoorthy, Lekhavani Ramesh, Ramalakshmi Subbarayalu, Vinayagam Mohanavel, Vishnu Raja Vijayakumar and Mourade Azrour

Chapter 8: The Role of Digital Education in Fostering Soft Skills: A Case Study of Moroccan University Students

Moulay Driss Hanafi, Houda Kably, Mohammed Elkouche, and Fatima Zohra Alaoui Mahrez

Chapter 9: Next-Generation IoT-Enabled Smart PV Systems for Sustainable Energy Under Harsh Environmental Conditions

Nagamani Prabu Arumugam, Balachander Kalappan, Santhosh Paramasivam, and Mourade Azrour

Chapter 10 Hybrid Modeling and Intelligent MPPT of Photovoltaic Panels Using Artificial Neural Networks and Interpolation Techniques

Marouan Ben El Haj and Said Ziani

Chapter 11: Analysis and Prediction of Hydrogen Yield Using Artificial Neural Networks

Bhawna Chhabra

Chapter 12: Automated Quality Control and Defect Diagnosis for Photovoltaic Panels Using Annotated Image Data

Said Ziani and Lokmane Ziani

Chapter 13: Robust Fetal ECG Signal Denoising via Continuous Wavelet Transform and Highly Accurate Classification Using XGBoost

Said Ziani and Youssef Chaou

Chapter 14: Solar and Wind-Powered Desalination Plants: Bibliographic and Comparative Study

Kaouthar Tabsissi, Atae Semmar, Loubna El Ansari, Nabila Rabbah, Hicham Medromi and Nadia Machkour Tabsissi

Chapter 15: The Perturb and Observe Algorithm: An Adaptive Step Size and Dichotomy Approach to Improve MPPT Efficiency

Ossama Benmarrakchi, Mohammed Kasri, Youssef Lamriji, Badreddine Cherkaoui and Abderrahim Beni-Hssane

Chapter 16: Enhancing Arabic NER with Targeted Data Augmentation and a Specialized BERT Model

Brahim Ghazoui, Ismail El Bazi, Brahim Ait Benali, and Hicham Moussa

Chapter 17: Analysis of Solar Resources and Predictive Modeling for Photovoltaic System Sizing in Tinghir, Morocco

Said Ziani

Chapter 18: Data-Driven Management with Connected Devices

Mamoon M. Saeed and Rashid A. Saeed

Chapter 19: Towards a Holistic Framework Using Machine Learning Approaches for Volume Estimation of Olive Trees

Ikram En-Najjari, Mehdi Najib and Mohamed Bakhouya

Chapter 20. Towards a Predictive Control Approach Using Machine Learning For Enhanced Irrigation Water Management in Smart Farming

Abderrahmane Aqachtoul, Abderrahmane Elamrani, Khaoula Karam, Youssef Alidrissi, Mehdi Najib, Abdelilah Rochd, and Mohamed Bakhouya

Chapter 21. Community Networked Microgrids for a Resilient and Sustainable Energy Future in Smart Farming

Abderrahmane Elamrani, Abderrahmane Aqachtoul, Youssef Alidrissi, Mehdi Najib, Abdelilah Rochd, Khalid Zine-Dine, Driss Yousfi, and Mohamed Bakhouya

Chapter 22. Unveiling the Nexus between Sustainable Technologies and China’s Export Expansion: A Bibliometric Review

Erum Shaikh Anil Kumar, and Muhammad Nawaz Tunio

Chapter 23: The Moroccan Economic Diplomacy as a Lever for the Diffusion of Green Technologies in Africa

Layla Bentahar and Mohammed Abdellaoui

Erscheint lt. Verlag 10.2.2026
Zusatzinfo 30 Tables, black and white; 88 Line drawings, black and white; 13 Halftones, black and white; 101 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Technik Elektrotechnik / Energietechnik
ISBN-10 1-041-14640-X / 104114640X
ISBN-13 978-1-041-14640-7 / 9781041146407
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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