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are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building;
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;
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This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet;
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space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The;
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automation. Microservices, IoT, and Azure offers software developers, architects, and operations engineers' step-by-step directions for building;
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. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT;
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process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices;
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This book describes the building blocks and introductory business models for Internet of Things (IoT). The author provide an overview;
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Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve;
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integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models;
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common sensors and IoT devices Who This Book Is For IoT architects, developers, and stakeholders working with the industrial Internet;
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The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to;
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describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data;
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This book offers a basic understanding of the Internet of Things (IoT), its design issues and challenges for healthcare applications. It;
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, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways;
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provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced;
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the internet. This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT;
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for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building;
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This carefully-researched book covers exciting trends in the dynamic technologies and business sectors of the Internet of Things (IOT) and;
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in and applications for commercial and industrial end users across sectors within the emerging Internet of Things ecosphere. It addresses both;
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. This Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World;
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of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT;
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of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT;
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This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge;
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This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge;
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This book is about the Internet of Things in the field of education. Specifically, it focuses on two major topics: IoT (Internet of Things;
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