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monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced to exploit;
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manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have;
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This book provides basic concepts and deep knowledge about various security mechanisms that can be implemented in IoT through Blockchain;
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Blockchain relies on distributed databases that give an alterable and semipublic record of digital transactions. Blockchain in learning;
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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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are relevant for advance secure, distributed, decentralized blockchain technology in the Internet of things, their applications, and industry;
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learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining;
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; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter Improving the;
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Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;
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aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain;
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This book constitutes the thoroughly refereed post conference papers of the Second International Conference on Blockchain and Trustworthy;
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expositions on blockchain construction, Merkle trees, peer-to-peer networks, cryptocurrency addresses, transactions, and mining. You'll take a deep;
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adoption. Cloud computing, big data analytics, machine and deep learning algorithm, and connected and embedded devices all are driving blockchain;
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engineers and IT administrators understand how to architect complex blockchain applications in enterprise environments. The book takes a deep dive;
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The business world has been hearing about Artificial Intelligence (AI) and blockchain. AI was the superstar topic of conversations at the;
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Work with blockchain and understand its potential application beyond cryptocurrencies in the domains of healthcare, 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;
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, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing;
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issues and specific areas of blockchain. For convenience, the authors present the elementary description, visualize the working procedure;
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Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning;
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Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT;
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, blockchain, and deep learning.;
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, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies;
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Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;
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This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog;
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environmental sustainability of real-time applications across areas such as healthcare, agriculture, construction, and manufacturing. Bringing;
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in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a;
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