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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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solution that uses all of these technologies-an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the;
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AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you;
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This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT;
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book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies * Covers;
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of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data;
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(VR/AR), and Artificial Intelligence (AI). Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for;
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healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and;
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benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from;
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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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, HealthyIoT 2017, held in Angers, France, in October 2017. The IoT as a set of existing and emerging technologies, notions and services can provide;
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prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI and Mathematical;
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Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very;
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AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service;
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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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: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial;
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Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare;
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for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Book DescriptionArtificial intelligence has;
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for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics;
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for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics;
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book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also;
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technologies, including AI, machine-learning, robotics, chatbots, and IoT.;
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The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the;
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This book is dedicated to addressing the major challenges in fighting COVID-19 using AI and IoT technologies.;
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Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to;
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addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book;
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This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world;
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