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This is the first book to conceptualise and develop a roadmap for the adoption of Cyber-Physical Systems (CPS) for facilities management in developing countries.
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This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics... Læs mere
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Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for smart green computing with use cases.
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Driver Training for Automated Vehicles identifies the training requirements for drivers of AVs and takes a systematic approach to design, develop, implement and evaluate a comprehensive training package to address these requirements.
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Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security.
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This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A... Læs mere
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Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities.
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The ideas of this book originates from the mobile WAVE approach which allowed us to implement citywide heterogeneous... Læs mere
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The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power... Læs mere
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The text comprehensively discusses the advanced MOS devices and their circuit applications with reliability concerns. Further, an energy-efficient... Læs mere
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This is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare.
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Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already stretched human workforce, maximizing the potential of a digital future is necessary.