Convergence Of Artificial Intelligence And The Internet Of Things

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Convergence of Artificial Intelligence and the Internet of Things

Author : George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Publisher : Springer Nature
Page : 446 pages
File Size : 40,9 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9783030449070

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Convergence of Artificial Intelligence and the Internet of Things by George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis Pdf

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Convergence of Deep Learning and Artificial Intelligence in Internet of Things

Author : Ajay Rana,Arun Kumar Rana,Sachin Dhawan,Sharad Sharma,Ahmed A Elngar
Publisher : CRC Press
Page : 329 pages
File Size : 49,9 Mb
Release : 2022-12-20
Category : Computers
ISBN : 9781000822083

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Convergence of Deep Learning and Artificial Intelligence in Internet of Things by Ajay Rana,Arun Kumar Rana,Sachin Dhawan,Sharad Sharma,Ahmed A Elngar Pdf

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. • Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. • Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. • Explores the importance of blockchain technology in the Internet of Things security issues. • Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. • Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications. This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities

Author : Sam Goundar,G Suseendran,R Anandan
Publisher : World Scientific
Page : 462 pages
File Size : 54,9 Mb
Release : 2022-05-18
Category : Computers
ISBN : 9789811225086

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Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities by Sam Goundar,G Suseendran,R Anandan Pdf

This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.

Machine Learning Approaches for Convergence of IoT and Blockchain

Author : Krishna Kant Singh,Akansha Singh,Sanjay K. Sharma
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 50,7 Mb
Release : 2021-08-10
Category : Computers
ISBN : 9781119761747

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Machine Learning Approaches for Convergence of IoT and Blockchain by Krishna Kant Singh,Akansha Singh,Sanjay K. Sharma Pdf

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.

Convergence of Blockchain, AI, and IoT

Author : R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Publisher : CRC Press
Page : 206 pages
File Size : 43,6 Mb
Release : 2021-12-23
Category : Technology & Engineering
ISBN : 9781000519327

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Convergence of Blockchain, AI, and IoT by R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam Pdf

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.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
Page : 350 pages
File Size : 44,5 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Convergence of Blockchain, AI, and IoT

Author : R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Publisher : CRC Press
Page : 216 pages
File Size : 40,7 Mb
Release : 2021-12-23
Category : Technology & Engineering
ISBN : 9781000519402

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Convergence of Blockchain, AI, and IoT by R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam Pdf

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.

Advances in the Convergence of Blockchain and Artificial Intelligence

Author : Tiago M. Fernández-Caramés,Paula Fraga-Lamas
Publisher : BoD – Books on Demand
Page : 96 pages
File Size : 45,9 Mb
Release : 2022-01-12
Category : Computers
ISBN : 9781789840933

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Advances in the Convergence of Blockchain and Artificial Intelligence by Tiago M. Fernández-Caramés,Paula Fraga-Lamas Pdf

Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past of BC through the history of Bitcoin and then looks into the future: from massive internet-of-things (IoT) deployments, to the so-called metaverse, and to the next generation of AI-powered BC-based cyber secured applications.

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Author : Patrick Siarry,M.A. Jabbar,Rajanikanth Aluvalu,Ajith Abraham,Ana Madureira
Publisher : Springer Nature
Page : 270 pages
File Size : 50,7 Mb
Release : 2021-08-11
Category : Technology & Engineering
ISBN : 9783030752200

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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care by Patrick Siarry,M.A. Jabbar,Rajanikanth Aluvalu,Ajith Abraham,Ana Madureira Pdf

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Convergence of Blockchain, AI and IoT

Author : B Balamurugan,T Poongodi,M R Manu,S Karthikeyan,Yogesh Sharma
Publisher : CRC Press
Page : 187 pages
File Size : 45,8 Mb
Release : 2023-06-30
Category : Computers
ISBN : 9781000728538

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Convergence of Blockchain, AI and IoT by B Balamurugan,T Poongodi,M R Manu,S Karthikeyan,Yogesh Sharma Pdf

Convergence of Blockchain, AI and IoT: A Digital Platform 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. Discusses innovative technological upgradation and significant challenges in the current era Gives an overview of clinical scientific research that enables smart diagnosis through artificial intelligence Provides an insight into how disruptive technology enabled with the self-running devices and protection mechanism is involved in an augmented reality with blockchain mechanism Talks about neural science being capable of enhancing deep brain waves to predict an overall improvement in human thoughts and behaviours Covers the digital currency mechanism in detail Enhances the knowledge of readers about smart contract and ledger mechanism with artificial intelligence and blockchain mechanism 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.

Edge AI

Author : Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
Publisher : Springer Nature
Page : 156 pages
File Size : 49,8 Mb
Release : 2020-08-31
Category : Computers
ISBN : 9789811561863

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Edge AI by Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen Pdf

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Artificial Intelligence and IoT

Author : Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
Publisher : Springer Nature
Page : 267 pages
File Size : 54,5 Mb
Release : 2021-02-12
Category : Technology & Engineering
ISBN : 9789813364004

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Artificial Intelligence and IoT by Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian Pdf

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors’ intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors’ attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Ambient Intelligence and Internet Of Things

Author : Md Rashid Mahmood,Rohit Raja,Harpreet Kaur,Sandeep Kumar,Kapil Kumar Nagwanshi
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 40,5 Mb
Release : 2022-11-23
Category : Computers
ISBN : 9781119821816

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Ambient Intelligence and Internet Of Things by Md Rashid Mahmood,Rohit Raja,Harpreet Kaur,Sandeep Kumar,Kapil Kumar Nagwanshi Pdf

AMBIENT INTELLIGENCE AND INTERNET OF THINGS The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications. Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that Am I can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications. The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications. Audience The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science.

The Convergence of Internet of Things and Cloud for Smart Computing

Author : Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande
Publisher : CRC Press
Page : 146 pages
File Size : 47,7 Mb
Release : 2021-08-03
Category : Technology & Engineering
ISBN : 9781000417838

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The Convergence of Internet of Things and Cloud for Smart Computing by Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande Pdf

This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT–Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth. Features: • Covers IoT cloud convergence with a focus on complex industrial IoT case studies. • Discusses the broad background of IoT–Cloud convergence architectures and its fundamentals along with resource provisioning mechanisms. • Emphasizes the use of context in developing context-aware IoT solutions. • Presents a novel C-model that explains the IoT application development phases. • Discusses a simplified convergence model that depicts the role of Cloud in an IoT application. This book aims at graduate students, researchers, and professionals getting started in the IoT field.

Convergence of Deep Learning in Cyber-IoT Systems and Security

Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 52,9 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9781119857662

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Convergence of Deep Learning in Cyber-IoT Systems and Security by Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan Pdf

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.