Kim,Shih – författare
Role of Blockchain Technology in IoT Applications
2 256 kr
Skickas inom 10-15 vardagar
Role of Blockchain Technology in IoT Applications, Volume 115 in the Advances in Computers series, reviews the latest information on this topic that promises many applications in human life. According to forecasts made by various market research/survey agencies, there will be around 50 Billion connected devices (IoT) by 2020. Updates in this new release include chapters on the Technical Aspects of Blockchain and IoT, Integrated Platforms for Blockchain-Enablement, Intersections Between IoT and Distributed Ledger, Blockchain and Artificial Intelligence: How and Why Combining These Two Groundbreaking Technologies, Blockchain Applications in Health Care and Opportunities and Advancements Due to New Information Technology Frameworks, and more.
Explores blockchain technology research trends in secured device to device communication Includes updates on secure vehicular communication (VANET) using blockchain technology Provides the latest on secure IoT communication using blockchain technology Presents use cases of blockchain technology in healthcare, the food chain, ERP and other emerging areasQuantum Machine Learning (QML): Platform, Tools and Applications
1 931 kr
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Quantum Machine Learning (QML): Platform, Tools and Applications, Volume 140 in the Advances in Computers series, explores the intersection of quantum computing and artificial intelligence, highlighting advances that promise to revolutionize computational science. The book introduces foundational concepts in quantum computing and circuits, building toward the practical implementation of quantum machine learning (QML) algorithms. Chapters address challenges such as the gradient vanishing problem in variational quantum circuits and explore powerful optimization methods enabled by quantum mechanics. The volume also covers advanced applications, including quantum approaches to smart grid management, quantum Monte Carlo simulations, and predictive modeling in numerical solvers using quantum neural networks.Real-world relevance is underscored through discussions of transformative quantum algorithms and their potential to reshape machine learning, enabling unprecedented performance in data analysis, optimization, and beyond.
Contains novel subject matter that is relevant to computer scienceIncludes the expertise of contributing authorsPresents an easy to comprehend writing style