Internet of Things and Green Technologies for Smart Environment
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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.
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.
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