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Deep Learning and IoT in Healthcare Systems

describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence;

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Hands-On Deep Learning for IoT

learning can improve the predictive power in your IoT solutions Capture and process streaming data for predictive maintenance Select optimal;

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Internet of Things (IoT) Technologies for HealthCare

-Health, emerging e-Health IoT applications, signal processing and analysis , the smartphones as a healthy thing, machine learning and deep;

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Artificial Intelligence for the Internet of Health Things

applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and;

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Healthcare Paradigms in the Internet of Things Ecosystem

platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare;

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Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile;

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Deep Learning for Internet of Things Infrastructure

posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology;

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Hardware Architectures for Deep Learning

, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for;

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IoT-Based Data Analytics for the Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;

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Hands-On Artificial Intelligence for IoT

learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from;

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Machine Learning and the Internet of Medical Things in Healthcare

learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an;

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Internet of Things Use Cases for the Healthcare Industry

in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations;

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Internet of Things Use Cases for the Healthcare Industry

in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations;

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Deep Learning Techniques for IoT Security and Privacy

comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and;

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Intelligent Internet of Things

This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT;

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Intelligent Internet of Things

This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT;

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Convergence of Internet of Things and Blockchain Technologies

This book presents chapters from diverse range of authors on different aspects of how Blockchain and IoT are converging and the impacts;

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Intelligent Computing and Networking

learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining;

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Medical Big Data and Internet of Medical Things

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly;

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Enabling Healthcare 4.0 for Pandemics - A Roadmap using AI, Machine Learning, IoT and Cognitive Technologies

ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle;

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Internet of Things and Big Data Technologies for Next Generation Healthcare

Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks;

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Emerging Technologies for Healthcare - Internet of Things and Deep Learning Models

solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies;

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Innovative Smart Healthcare and Bio-Medical Systems

perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models;

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3rd EAI International Conference on IoT in Urban Space

) and the new science of cities.The papers discuss fusion of heterogeneous urban sources, understanding urban data using machine learning and;

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3rd EAI International Conference on IoT in Urban Space

) and the new science of cities.The papers discuss fusion of heterogeneous urban sources, understanding urban data using machine learning and;

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