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The aim of the book Driving 5G Mobile communications with Artificial Intelligence towards 6G is to present current work and directions of continuously innovation and development in multimedia communications with a focus on services and users
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This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL)... Læs mere
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This book is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical... Læs mere
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This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad... Læs mere
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The book augurs to be a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives orient to offer an overview... Læs mere
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This text introduces multifunctional and multi-disciplinary technological aspects, principle, and industry... Læs mere
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This book focusses on supercapacitors including details on classification, charge storage mechanisms, related... Læs mere
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This book investigates the fundaments, standards, and protocols of Cyber-Physical Systems (CPS) in the Industrial Transformation environment. It facilitates a fusion of both technologies in the creation of reliable and robust applications.
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This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the... Læs mere
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Flight, Dynamics, Simulation, and Control of Aircraft: Rigid and Flexible, Second Edition explains the basics of nonlinear aircraft dynamics and the principles of control configured aircraft design, as applied to rigid and flexible aircraft, drones, and UAVs.
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AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence with Africa’s unique socio-economic realities. The first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent.
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What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.