Blockchain Und Maschinelles Lernen
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Blockchain Und Maschinelles Lernen
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Author : Sigurd Schacht
language : de
Publisher: Springer-Verlag
Release Date : 2019-11-27
Blockchain Und Maschinelles Lernen written by Sigurd Schacht and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Computers categories.
Durch Bitcoin wurde die Blockchain als zugrundeliegende Technologie bekannt. Sie zählt zu den Distributed-Ledger-Technologien, die zukünftig viele Bereiche des wirtschaftlichen Handels beeinflussen werden. So bergen dezentrale autonome Anwendungen enormes Potenzial, nicht nur Prozesse, sondern auch Vertragsabstimmungen zu automatisieren. Beispielsweise kann ein automatisiertes wirtschaftliches Handeln zwischen Maschinen ermöglicht werden. Um einen derart hohen Automatisierungsgrad zu erreichen, müssen datenbasierte Entscheidungen autonom – ohne menschliches Zutun – getroffen werden. Maschinelle Lernverfahren können dabei eine zentrale Komponente bei der Entscheidungsfindung einnehmen. Das Buch stellt erstmalig die komplementären Themengebiete Distributed-Ledger-Technologie und maschinelles Lernen gegenüber und zeigt auf, welches Potenzial freigesetzt werden kann, wenn beide Technologien zielführend miteinander verbunden werden. Das Buch ist eine unverzichtbare Lektüre für diejenigen, die sich tiefgreifendes Wissen in der Kombination beider Themengebiete aufbauen wollen, indem einerseits die theoretischen Grundlagen und andererseits auch mögliche Anwendungsszenarien dargestellt werden.
Practical Artificial Intelligence And Blockchain
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Author : Ganesh Prasad Kumble
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-31
Practical Artificial Intelligence And Blockchain written by Ganesh Prasad Kumble and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Computers categories.
Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challenges Key FeaturesUnderstand the fundamental concepts for converging artificial intelligence and blockchainApply your learnings to build apps using machine learning with Ethereum, IPFS, and MoiBitGet well-versed with the AI-blockchain ecosystem to develop your own DIAppsBook Description AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern. What you will learnGet well-versed in blockchain basics and AI methodologiesUnderstand the significance of data collection and cleaning in AI modelingDiscover the application of analytics in cryptocurrency tradingGet to grips with open, permissioned, and private blockchainsExplore the DIApp design pattern and its merit in digital solutionsFind out how LSTM and ARIMA can be applied in crypto tradingUse the DIApp design pattern to build a sample contact tracing applicationGet started with building your own DIApps across various domainsWho this book is for This book is for blockchain and AI architects, developers, data scientists, data engineers, and evangelists who want to harness the power of artificial intelligence in blockchain applications. If you are looking for a blend of theoretical and practical use cases to understand how to implement smart cognitive insights into blockchain solutions, this book is what you need! Knowledge of machine learning and blockchain concepts is required.
Blockchain Big Data And Machine Learning
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Author : Neeraj Kumar
language : en
Publisher: CRC Press
Release Date : 2020-09-25
Blockchain Big Data And Machine Learning written by Neeraj Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.
Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.
Machine Learning Approaches For Convergence Of Iot And Blockchain
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Author : Krishna Kant Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-10
Machine Learning Approaches For Convergence Of Iot And Blockchain written by Krishna Kant Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-10 with Computers categories.
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
Machine Learning Blockchain And Cyber Security In Smart Environments
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Author : Sarvesh Tanwar
language : en
Publisher: CRC Press
Release Date : 2022-08-31
Machine Learning Blockchain And Cyber Security In Smart Environments written by Sarvesh Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Computers categories.
Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.
Machine Learning Adoption In Blockchain Based Intelligent Manufacturing
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Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-06-22
Machine Learning Adoption In Blockchain Based Intelligent Manufacturing written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Technology & Engineering categories.
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities. Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers. Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure Covers the effects that the 4th Industrial Revolution has on industrial infrastructures Looks at industry change patterns and innovations that are speeding up industrial transformation activities Om Prakash Jena is currently working as an associate professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Sabyasachi Pramanik is an assistant professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India. Ahmed A. Elngar is an associate professor in the Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is also an associate professor in the College of Computer Information Technology, chair of the Scientific Innovation Research Group (SIRG), and director of the Technological and Informatics Studies Center (TISC), American University in the Emirates, United Arab Emirates.
The International Conference On Deep Learning Big Data And Blockchain Deep Bdb 2021
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Author : Irfan Awan
language : en
Publisher: Springer Nature
Release Date : 2021-08-07
The International Conference On Deep Learning Big Data And Blockchain Deep Bdb 2021 written by Irfan Awan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-07 with Technology & Engineering categories.
The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research 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 been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
Blockchain Und K Nstliche Intelligenz In Der Beschaffung
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Author : Ahmet Kaya
language : de
Publisher: GRIN Verlag
Release Date : 2023-04-28
Blockchain Und K Nstliche Intelligenz In Der Beschaffung written by Ahmet Kaya and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
Bachelorarbeit aus dem Jahr 2021 im Fachbereich Informatik - Künstliche Intelligenz, Note: 2,0, Universität Duisburg-Essen, Sprache: Deutsch, Abstract: Das Ziel dieser Arbeit ist es, die derzeitigen Potenziale von Blockchain und Künstlicher Intelligenz in der Beschaffung zu untersuchen. Dabei werden Einsatzmöglichkeiten in verschiedenen Unternehmen vorgestellt und die daraus entstehenden Vor- und Nachteile erläutert. Diese Arbeit wird in mehrere Abschnitte aufgeteilt, um das Verständnis einfacher zu gestalten. Im ersten Abschnitt werden die Grundlagen zur KI und Blockchain näher erläutert. Dabei werden die Arten der jeweiligen Technologien erklärt sowie die wichtigsten Eigenschaften von maschinellem Lernen bei der KI oder Smart Contracts bei der Blockchain benannt. Dies ist von großer Bedeutung, um die späteren Thematiken im Hauptteil besser zu verstehen. Im nächsten Abschnitt wird auf die Beschaffung eingegangen. Zunächst wird kurz erklärt, was man unter dem Begriff Beschaffung bzw. Einkauf versteht und was die strategische und operative Beschaffung verkörpern. Anschließend wird auf die gegenwärtigen Arbeits- und Rahmenbedingungen eingegangen, deren Funktionsweisen innerhalb der Beschaffungsbranche und welche Prozesse wie stattfinden. Zum Schluss dieses Abschnitts werden die Probleme der gegenwärtigen Funktionsweisen verdeutlicht und damit dargestellt, inwiefern diese Prozesse bald gänzlich veraltet sind. Im weiteren Verlauf der Arbeit werden die Potenziale der Blockchain und KI für den Beschaffungsmarkt dargestellt. Daraufhin folgen mehrere Beispiele von Anwendungen, wie sie in verschiedenen Unternehmen eingesetzt oder von verschiedenen Firmen erstellt wurden. Der vorletzte Abschnitt umfasst eine kritische Bewertung der Blockchain-Technologie und der Künstlichen Intelligenz. Es werden die Risiken der beiden Techniken aufgezeigt und eventuelle Nutzungsblockaden analysiert. Am Ende folgt das Fazit, wo alle wichtigen Erkenntnisse aus der Arbeit zusammengefasst werden und ein Ausblick auf die Zukunft der Technologien Blockchain und Künstliche Intelligenz gegeben wird.
Blockchain And Deep Learning
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Author : Khaled R. Ahmed
language : en
Publisher: Springer Nature
Release Date : 2022-03-25
Blockchain And Deep Learning written by Khaled R. Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-25 with Computers categories.
This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
Integrating Artificial Intelligence And Machine Learning With Blockchain Security
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Author : D. Jeya Mala
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-09-13
Integrating Artificial Intelligence And Machine Learning With Blockchain Security written by D. Jeya Mala and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Computers categories.
Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.