Anass Cherrafi (47 results)

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

paperback. Condition: Fine.

paperback. Condition: Good. minor wear and creasing.

paperback. Condition: Very Good.

Condition: New.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Hardback. Condition: New. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.…

Taschenbuch. Condition: Neu. Artificial Intelligence and Industrial Applications | Smart Operation Management | Tawfik Masrour (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xx | Englisch | 2020 | Springer | EAN 9783030511852 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. Artificial Intelligence and Industrial Applications | Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering Applications | Tawfik Masrour (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xviii | Englisch | 2020 | Springer | EAN 9783030539696 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New. In English.

Condition: New. In English.

Hardcover. Condition: Brand New. 448 pages. 9.18x6.12x9.45 inches. In Stock.

Condition: New.

Hardback. Condition: New. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.…

Paperback. Condition: Brand New. 464 pages. 9.25x6.10x1.09 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA'2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco.The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications.The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.…

Paperback. Condition: Brand New. 344 pages. 9.25x6.10x0.81 inches. In Stock.

Condition: New.

Condition: New. In English.

Hardcover. Condition: new. Hardcover. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation. The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…