Convergence Of Artificial Intelligence Machine Learning And The Internet Of Things In Industry 4 0 Applications
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Convergence Of Artificial Intelligence Machine Learning And The Internet Of Things In Industry 4 0 Applications
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Author : Amrita Rai
language : en
Publisher: Springer Nature
Release Date : 2025-08-30
Convergence Of Artificial Intelligence Machine Learning And The Internet Of Things In Industry 4 0 Applications written by Amrita Rai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.
The book offers valuable insights into research related to Industry 4.0 applications that utilize artificial intelligence (AI), machine learning (ML), and the Industrial Internet of Things (IIoT). Industry 4.0, also known as the Fourth Industrial Revolution, includes disruptive technologies such as the Internet of Things (IoT), robotics, virtual reality (VR), VLSI architecture, and AI, all of which are transforming modern society and manufacturing practices. This book addresses various aspects of smart industrial application design strategies and their effects on next-generation systems, including quantum computing, edge computing, IoT, cybersecurity, nano-communications, and robotic automation. The application of AI, machine learning techniques, and IoT is anticipated to improve the performance of automated and controlled systems. Intended as a resource for academics, researchers, and professionals in the fields of AI and ML, the content also explores their applications within the industrial revolution and the influence of VLSI on the global market. Additionally, the book serves as a reference for developing sustainable engineering solutions to address various global industrial challenges.
Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation
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Author : Divya Mishra
language : en
Publisher: CRC Press
Release Date : 2024-10-07
Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation written by Divya Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Technology & Engineering categories.
This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing. This book: • Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications. • Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation. • Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing. • Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things. • Highlights operation management using human-robot, smart maintenance, and autonomous production. It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.
Convergence Of Deep Learning And Artificial Intelligence In Internet Of Things
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Author : Ajay Rana
language : en
Publisher: CRC Press
Release Date : 2022-12-27
Convergence Of Deep Learning And Artificial Intelligence In Internet Of Things written by Ajay 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 2022-12-27 with Computers categories.
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.
Artificial Intelligence And Machine Learning For Industry 4 0
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Author : M. Thirunavukkarasan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-10
Artificial Intelligence And Machine Learning For Industry 4 0 written by M. Thirunavukkarasan 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 2025-06-10 with Computers categories.
This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. This book emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial Intelligence and Machine Learning for Industry 4.0offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.
Artificial Intelligence In Industry 4 0 And 5g Technology
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Author : Pandian Vasant
language : en
Publisher: John Wiley & Sons
Release Date : 2022-07-20
Artificial Intelligence In Industry 4 0 And 5g Technology written by Pandian Vasant 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 2022-07-20 with Computers categories.
Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care
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Author : Patrick Siarry
language : en
Publisher: Springer Nature
Release Date : 2021-08-11
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care written by Patrick Siarry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Technology & Engineering categories.
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.
Ai Driven Digital Twin And Industry 4 0
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Author : Sita Rani
language : en
Publisher: CRC Press
Release Date : 2024-06-19
Ai Driven Digital Twin And Industry 4 0 written by Sita Rani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Computers categories.
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
International Virtual Conference On Industry 4 0
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Author : R. Jagadeesh Kannan
language : en
Publisher: Springer Nature
Release Date : 2023-03-31
International Virtual Conference On Industry 4 0 written by R. Jagadeesh Kannan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Technology & Engineering categories.
This book presents the proceedings of the International Virtual Conference on Industry 4.0 (IVCI4.0 2021). This conference brings together specialists from the academia and industry sectors to promote the exchange of knowledge, ideas, and information on the latest developments and applied technologies in the field of Industry 4.0. The book discusses a wide range of topics such as safe and affordable housing, affordable and sustainable transport systems, mitigating adverse effects on natural disasters, mitigating environmental impact, green and public spaces, sustainable and resilient building, sustainable urbanization, and cultural and natural heritage conservation. The book supports the transfer of vital knowledge to the next generation of academics and practitioners.
A Roadmap For Enabling Industry 4 0 By Artificial Intelligence
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Author : Jyotir Moy Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-01
A Roadmap For Enabling Industry 4 0 By Artificial Intelligence written by Jyotir Moy Chatterjee 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 2023-02-01 with Computers categories.
A ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0. The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation. Audience Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.
Artificial Intelligence And Iot
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Author : Kalaiselvi Geetha Manoharan
language : en
Publisher: Springer Nature
Release Date : 2021-02-12
Artificial Intelligence And Iot written by Kalaiselvi Geetha Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Technology & Engineering categories.
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.