About the Book
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.
Table of Contents:
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
About the Author :
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.
