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Author: Bharat Bhushan
Publisher: Springer Nature
ISBN: 3031319524
Category : Computers
Languages : en
Pages : 396
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Book Description
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
Author: Bharat Bhushan
Publisher: Springer Nature
ISBN: 3031319524
Category : Computers
Languages : en
Pages : 396
Get Book Here
Book Description
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
Author: Muhammad Younas
Publisher: Springer Nature
ISBN: 3031680057
Category :
Languages : en
Pages : 324
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Book Description
Author: Fadi Al-Turjman
Publisher: Springer Nature
ISBN: 303163103X
Category :
Languages : en
Pages : 313
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Book Description
Author: Bharat S Chaudhari
Publisher: Elsevier
ISBN: 0443222037
Category : Computers
Languages : en
Pages : 520
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Book Description
Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.
Author: Fazilah Hassan
Publisher: Springer Nature
ISBN: 9819972434
Category : Computers
Languages : en
Pages : 511
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Book Description
This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25–26, 2023. The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.
Author: Omar, Marwan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 287
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Book Description
In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses. Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.
Author: M. G. Sumithra
Publisher: Springer Nature
ISBN: 3031674502
Category :
Languages : en
Pages : 464
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Book Description
Author: R. Indrakumari
Publisher: CRC Press
ISBN: 1000519406
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy. The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors. Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.
Author: A Prasanth
Publisher: CRC Press
ISBN: 104001805X
Category : Computers
Languages : en
Pages : 264
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Book Description
Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare presents an overview of the innovative concepts, technologies, and various biomedical applications of the Internet of Medical Things (IoMT). Features: • Provides insights into smart contracts, healthcare monitoring equipment, and the next generation of Internet of Things sensors to improve adherence to chronic disease management programs and patient health. • Discusses the IoMT for personalized healthcare, security, and privacy issues of the IoMT in the healthcare sector. • Elaborates on the opportunities and challenges of blockchain technology in the healthcare system. • Focuses on the convergence of the IoMT and blockchain for emerging personalized healthcare systems. • Presents techniques and methods to secure IoMT devices to protect them from cyberattacks. This book is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, biomedical engineering, and electrical engineering.
Author: Abhishek, Kumar
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 442
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Book Description
The convergence of Internet of Things (IoT) technology and blockchain offers transformative potential for the development of smart cities, enhancing industry operations and healthcare systems. IoT devices generate vast amounts of data to optimize urban infrastructure and improve service delivery, while blockchain provides a secure, transparent framework for managing data. Across industries, this collaboration leads to smarter manufacturing processes and efficient logistics. In healthcare, it enhances patient care through secure data sharing and streamlined administrative processes. A concerted effort to address these technical, regulatory, and ethical challenges is crucial for effective and responsible integration of IoT and blockchain in smart cities for improved urban living and healthcare services. Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives explores the application of IoT and blockchain technology for smart city integration in healthcare industries and business processes. It offers solutions for this effective convergence, through aspects like cloud and digital technology, or security and privacy practices. This book covers topics such as machine learning, energy management, and wearable devices, and is a useful resource for business owners, computer engineers, agriculturalists, security professionals, healthcare workers, academicians, researchers, and scientists.
