Sprache: Englisch
Verlag: H N H International Limited, 2025
ISBN 10: 1032851120 ISBN 13: 9781032851129
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.19x6.13x9.21 inches. In Stock.
Zustand: New. Baoling Shan is currently a Lecturer at University of Science and Technology Beijing, Beijing, China.Xin Yuan is currently a Senior Research Scientist at CSIRO, Sydney, NSW, Australia, and an Adjunct Senior Lecturer at the Univers.
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
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Sprache: Englisch
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Sprache: Englisch
Verlag: Inst of Engineering & Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
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Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
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In den WarenkorbZustand: New. KlappentextThis book explores how technology can facilitate social distancing in order to better manage pandemics and future outbreaks. The authors present key concepts, models and practical technology-based social distancing scenario.
Sprache: Englisch
Verlag: Institution of Engineering & Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 306 | Sprache: Englisch | Produktart: Bücher | This book explores how technology can facilitate social distancing in order to better manage pandemics and future outbreaks. The authors present key concepts, models and practical technology-based social distancing scenarios, and then enabling technologies including machine learning, AI, computer vision, blockchain and big data.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Mai 2024, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - A consensus mechanism is the core component of a blockchain network, which ensures that every participant agrees on the state of the network in trustless environments. Until now, current blockchain networks have been using the proof-of-work (PoW) consensus mechanism, which has serious limitations such as huge energy consumption, low transaction processing capabilities, and centralization and scalability issues. To overcome these problems, a new consensus mechanism entitled proof-of-stake (PoS) has been developed. PoS has many advantages, including negligible energy consumption and very low consensus delay. Ethereum (the largest decentralized global software platform to create secured digital technology powered by blockchain technology and the blockchain of choice globally for all developers and enterprises) has just switched from PoW to PoS. As a result, this mechanism is expected to become a cutting-edge technology for future blockchain networks. This book provides a comprehensive discussion of the PoS consensus mechanism for blockchain networks. Starting with an overview of blockchain technology and consensus mechanisms, including basic concepts and network architecture, the book provides a review of the PoS consensus mechanism, including PoS consensus security and PoS performance and scalability issues. Proof-of-Stake for Blockchain Networks: Fundamentals, challenges and approaches is a valuable resource for researchers, engineers, and postgraduate students who are interested in advanced PoS consensus mechanisms, as well as developers and entrepreneurs who are interested in developing applications using the PoS consensus mechanism.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Aug 2022, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book explores how technology can facilitate social distancing in order to better manage pandemics and future outbreaks. The authors present key concepts, models and practical technology-based social distancing scenarios, and then enabling technologies including machine learning, AI, computer vision, blockchain and big data.