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investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things;
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Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled;
Vergelijkbare producten zoals Cognitive Internet of Medical Things for Smart Healthcare
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;
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This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications;
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This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a;
Vergelijkbare producten zoals Deep Learning Techniques for IoT Security and Privacy
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;
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The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;
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This book constitutes the thoroughly refereed proceedings of the 11th International Conference on e-Infrastructure and e-Services for;
Vergelijkbare producten zoals e-Infrastructure and e-Services for Developing Countries
The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;
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This book covers everything from machine learning to robotics and the internet of things. By the time you finish reading, you will be aware;
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of Internet 2.0? The quest for answers to the above questions threads the narrative through the birthing process and maturation of two;
Vergelijkbare producten zoals Design and Construction of an RFID-enabled Infrastructure
of Internet 2.0? The quest for answers to the above questions threads the narrative through the birthing process and maturation of two;
Vergelijkbare producten zoals Design and Construction of an RFID-enabled Infrastructure
rapidly expanding and opening doors for more and more innovative research. This extensive book focuses primarily on the current status of internet;
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This book constitutes the proceedings of the Fourth International Conference on Internet of Things (IoT) Technologies for HealthCare;
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following Packt products: Internet of Things Programming Projects by Colin Dow Internet of Things for Architects by Perry Lea What you will learn;
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This book explains the 3GPP technical specifications for the upcoming 5G Internet of Things (IoT) technology based on latest release which;
Vergelijkbare producten zoals 5G LTE Narrowband Internet of Things (NB-IoT)
This book explains the 3GPP technical specifications for the upcoming 5G Internet of Things (IoT) technology based on latest release which;
Vergelijkbare producten zoals 5G LTE Narrowband Internet of Things (NB-IoT)
Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are;
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This volume, SGIoT 2020, constitutes the refereed proceedings of the 4th EAI International Conference on Smart Grid and Internet of Things;
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This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible;
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improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning;
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This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it Deep Biometrics . The;
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This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it Deep Biometrics . The;
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of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value;
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The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but;
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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required;
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features a wealth of examples, learning goals and summaries for every chapter, numerous recommendations for further reading, and questions for;
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