Machine Learning Approaches For Convergence Of Iot And Blockchain
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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 : 2021-07-16
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 2021-07-16 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.
Blockchain And Deep Learning For Smart Healthcare
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Author : Akansha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-31
Blockchain And Deep Learning For Smart Healthcare written by Akansha 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 2024-01-31 with Computers categories.
BLOCKCHAIN and DEEP LEARNING for SMART HEALTHCARE The book discusses the popular use cases and applications of blockchain technology and deep learning in building smart healthcare. The book covers the integration of blockchain technology and deep learning for making smart healthcare systems. Blockchain is used for health record-keeping, clinical trials, patient monitoring, improving safety, displaying information, and transparency. Deep learning is also showing vast potential in the healthcare domain. With the collection of large quantities of patient records and data, and a trend toward personalized treatments. there is a great need for automated and reliable processing and analysis of health information. This book covers the popular use cases and applications of both the above-mentioned technologies in making smart healthcare. Audience Comprises professionals and researchers working in the fields of deep learning, blockchain technology, healthcare & medical informatics. In addition, as the book provides insights into the convergence of deep learning and blockchain technology in healthcare systems and services, medical practitioners as well as healthcare professionals will find this essential reading.
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution
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Author : Sathio, Anwar Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution written by Sathio, Anwar Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.
The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Digital Twin Technologies And Smart Cities
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Author : Maryam Farsi
language : en
Publisher: Springer
Release Date : 2019-07-22
Digital Twin Technologies And Smart Cities written by Maryam Farsi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-22 with Technology & Engineering categories.
This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to: data visualisation, real-time data analytics, and learning leading to improved confidence in decision making; reasoning, monitoring and warning to support accurate diagnostics and prognostics; acting using edge control and what-if analysis; and connection with back-end business applications hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities’ sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT’s is discussed in details and from various perspectives. The book offers an outstanding reference guide for practitioners and researchers in manufacturing, operations research and communications, who are considering digitising some of their assets and related services. It is also a valuable asset for graduate students and academics who are looking to identify research gaps and develop their own proposals for further research.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Mobile Edge Computing
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Author : Yan Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-10-01
Mobile Edge Computing written by Yan Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Computers categories.
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Blockchain And Ai Technology In The Industrial Internet Of Things
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Author : Subhendu Kumar Pani
language : en
Publisher: Engineering Science Reference
Release Date : 2020-11
Blockchain And Ai Technology In The Industrial Internet Of Things written by Subhendu Kumar Pani and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11 with Blockchains (Databases) categories.
"With blockchain technology and artificial intelligence fueling the concept and growth of the Industrial Internet of Things, this book investigates the intersection of information science, computer science, and electronics engineering as it ushers in a new era for industrial and manufacturing companies"--
Intelligent Data Driven Techniques For Security Of Digital Assets
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2025-03-24
Intelligent Data Driven Techniques For Security Of Digital Assets written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Technology & Engineering categories.
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality. This book: • Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources. • Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy. • Explains the role of emerging technology such as blockchain technology for transforming conventional business models. • Highlights the importance of machine learning techniques in maintaining the privacy and security of data. • Covers encryption and decryption techniques, their advantages and role in improving the privacy of data. The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.
Proceeding Of The 7th International Conference On Logistics Operations Management Gol 24
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Author : Youssef Benadada
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Proceeding Of The 7th International Conference On Logistics Operations Management Gol 24 written by Youssef Benadada and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.
This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this conference focused on Smart Sustainable and Green Logistics. The papers included in the book's proceedings cover various themes, such as: . Metaheuristics for industry 4.0 . Multi-agent systems for solving combinatorial optimization problems . Sustainability in supply chain management: a paradigm for global transformation . Sustainable and agile supply chain management . Sustainable and smart management of water resources: innovative optimization . Artificial intelligence and emerging technologies: advancements and applications . Artificial intelligence techniques and statistical modeling for mobility and urban logistics planning . Smart and green process in transport and logistics . Viability of logistics networks, structural dynamics and recovery strategy—low certainty context . Modeling, simulation and optimization . Planning and scheduling . Decision support systems . Risk management . Project management . Information systems integration . Supply chain design and control . Models and algorithms for electric mobility
The Fourth Industrial Revolution
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Author : Klaus Schwab
language : en
Publisher: Penguin UK
Release Date : 2017-01-03
The Fourth Industrial Revolution written by Klaus Schwab and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-03 with Business & Economics categories.
The founder and executive chairman of the World Economic Forum on how the impending technological revolution will change our lives We are on the brink of the Fourth Industrial Revolution. And this one will be unlike any other in human history. Characterized by new technologies fusing the physical, digital and biological worlds, the Fourth Industrial Revolution will impact all disciplines, economies and industries - and it will do so at an unprecedented rate. World Economic Forum data predicts that by 2025 we will see: commercial use of nanomaterials 200 times stronger than steel and a million times thinner than human hair; the first transplant of a 3D-printed liver; 10% of all cars on US roads being driverless; and much more besides. In The Fourth Industrial Revolution, Schwab outlines the key technologies driving this revolution, discusses the major impacts on governments, businesses, civil society and individuals, and offers bold ideas for what can be done to shape a better future for all.