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

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

Aniss Moumen; Brahim El Bhiri; Mohamed-Mustapha Zarrouk; Charaf Hajjaj; Mohammed Zouiten

Springer Nature

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 these cutting-edge advancements. The book begins by applying AI to the formal verification of System-on-Chip (SoC) components, showcasing methods that ensure efficient and reliable design processes. It discusses innovative techniques for optimizing the formulation of unfired clay bricks with Chamaerops Humilis fibers. It evaluates the mechanical and thermal properties of compact clay blocks stabilized with wood ash or traditional pottery waste. A detailed bibliometric analysis highlights research progress and trends in renewable energy and sustainable development, offering a clear view of future directions in these vital fields. The book also reviews advancements in traction motors and power electronic converters for electric vehicle drivetrains, providing insights into their efficiency and performance. The mathematical intricacies of the Topological Degree Method for coupled systems of…

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