Artificial Intelligence and Data Analytics for Innovative Applications in Engineering, Sustainability and Technology

Éditeur :

Springer

Paru le : 2025-09-26

This book explores the forefront of Artificial Intelligence (AI), data analytics, and sustainable engineering, presenting in-depth research and practical applications across various domains. It is designed to provide valuable insights for professionals, researchers, and students eager to understand ...
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Auteur

Éditeur

Collection
n.c

Parution
2025-09-26

Pages
199 pages

EAN papier
9783031903175

Dr. Aniss Moumen is Professor of Computer Science at the National School of Applied Sciences-Kenitra, part of Ibn Tofail University in Kenitra, Morocco. He graduated in 2002 as an Electrical Application Engineer from the University of Sidi Mohammed Ben Abdellah in Fez, Morocco. In 2005, he earned a specialized master's degree in information security and systems from the Higher School of Computer Science, Electronics, and Automation in Paris. He also received a master's in network and Telecommunication from the Chaib Doukkali University in El Jadida in 2004. He completed his Ph.D. in Computer Science, Mathematics, and Applications at Ibn Tofail University in 2016. Dr. MOUMEN teaches engineering students various subjects. Mohammed Zouiten  graduated as Electrical Application Engineer from the University of Sidi Mohammed Ben Abdellah-Fez-Morroco. In 2007, he received his master's degree in computer science from the same University. In 2014, he received his Ph.D. degree in Geographical Information Systems and modeling From USMBA University. In 2021, he received his university accreditation From Abdelmalik Essadi University, Tetouan of Morroco, where he has also collaborated as Researcher in several scientific projects. Over the last five years, he has worked as Professor and Researcher at the Faculty Polydisciplinary of TAZA at the University Sidi Mohammed Ben Abdellah, where he has conducted several statistics and computer science courses and supervised some master theses. He has also produced several publications on floods, forest fires, and natural hazards in general. Dr. Charaf Hajjaj is Associate Professor at the Higher School of Technology in Essaouira, part of Cadi Ayyad University. He received his Ph.D. in Physics and Engineering from the Faculty of Sciences at Chouaïb Doukkali University, El Jadida, Morocco in March 2019. Dr. Hajjaj also holds a M.Sc. in Telecommunications, Networks, and Industrial Electronics from the same university. Dr. Charaf has several years of experience working at the Green Energy Park research center (UM6P - IRESEN) solar test facilities in Ben-Guerir, Morocco. As part of his Ph.D. research, he conducted experiments testing various PV technologies under semi-arid and harsh climate conditions. Dr. Brahim El Bhiri is Professor of Telecommunication and embedded systems at the Moroccan School of Engineering Sciences (EMSI: Ecole Marocaine des Sciences de l'Ingenieur). He is Director of R&D&I at the same school and Head of the SMARTiLab Laboratory of Research, Development, and Innovation. He has over 12 years of experience in electronics, wireless sensor networks, data processing, and embedded systems. He has published over thirty papers in international scientific journals and conferences. He is the author of 5 books and 22 book chapters, published by leading international publishers like Springer. Dr. Mohamed Mustapha Zarrouk holds a Ph.D. in Applied Mathematics from the Faculty of Sciences and Technology Errachidia, Morocco. He is currently Professor of applied mathematics and computer sciences at Euro-Med University, Fez. Dr. Zarrouk does research in numerical solutions of PDEs with applications related to flow and transport in porous media. Its most recent projects include the Preconditioned iterative methods for reactive transport models in porous media and optimized space domain decomposition.

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EAN PDF
9783031903182
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Nombre pages imprimables
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Taille du fichier
22170 Ko
EAN EPUB
9783031903182
Prix
168,79 €
Nombre pages copiables
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Nombre pages imprimables
19
Taille du fichier
62413 Ko

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