Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation PDF Download
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Author | : Divya Mishra |
Publisher | : |
Total Pages | : 0 |
Release | : 2024-10-22 |
Genre | : Computers |
ISBN | : 9781032428444 |
Download Convergence of Artificial Intelligence and Internet of Things for Industrial Automation Book in PDF, ePub and Kindle
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.
Author | : Mishra, Divya Upadhyay |
Publisher | : IGI Global |
Total Pages | : 298 |
Release | : 2022-09-23 |
Genre | : Computers |
ISBN | : 1668449935 |
Download Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things Book in PDF, ePub and Kindle
With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.
Author | : George Mastorakis |
Publisher | : Springer Nature |
Total Pages | : 446 |
Release | : 2020-05-06 |
Genre | : Computers |
ISBN | : 3030449076 |
Download Convergence of Artificial Intelligence and the Internet of Things Book in PDF, ePub and Kindle
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.
Author | : Kalaiselvi Geetha Manoharan |
Publisher | : Springer Nature |
Total Pages | : 267 |
Release | : 2021-02-12 |
Genre | : Technology & Engineering |
ISBN | : 9813364009 |
Download Artificial Intelligence and IoT Book in PDF, ePub and Kindle
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.
Author | : Rajappan, Roopa Chandrika |
Publisher | : IGI Global |
Total Pages | : 428 |
Release | : 2024-04-26 |
Genre | : Business & Economics |
ISBN | : |
Download The Convergence of Self-Sustaining Systems With AI and IoT Book in PDF, ePub and Kindle
Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.
Author | : Tan Yen Kheng |
Publisher | : BoD – Books on Demand |
Total Pages | : 160 |
Release | : 2021-01-14 |
Genre | : Technology & Engineering |
ISBN | : 1838810870 |
Download Smart Manufacturing Book in PDF, ePub and Kindle
Smart manufacturing uses big data, the Internet of things (IoT) and the Internet of Services (IoS), and flexible and dynamic workforces to cope with ever-increasing demand in low-volume, high-mix production. Companies worldwide are already pivoting towards dynamic and reconfigurable production as a smarter way to build and make things. As such, this book discusses the next generation of manufacturing, which will involve the transformational convergence of intelligent machines, powerful computing and analytics, and unprecedented networking of people, products, and services.
Author | : Madhumathy P |
Publisher | : CRC Press |
Total Pages | : 243 |
Release | : 2021-11-17 |
Genre | : Computers |
ISBN | : 1000484963 |
Download Machine Learning and IoT for Intelligent Systems and Smart Applications Book in PDF, ePub and Kindle
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Author | : Deepa Jose |
Publisher | : CRC Press |
Total Pages | : 419 |
Release | : 2024-07-30 |
Genre | : Computers |
ISBN | : 1040041159 |
Download AI-Driven IoT Systems for Industry 4.0 Book in PDF, ePub and Kindle
The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.
Author | : Krishna Kant Singh |
Publisher | : John Wiley & Sons |
Total Pages | : 258 |
Release | : 2021-08-10 |
Genre | : Computers |
ISBN | : 1119761743 |
Download Machine Learning Approaches for Convergence of IoT and Blockchain Book in PDF, ePub and Kindle
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.
Author | : Ajay Rana |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Convergence (Telecommunication) |
ISBN | : 9781032410425 |
Download Convergence of Deep Learning and Artificial Intelligence in Internet of Things Book in PDF, ePub and Kindle
"The 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 production, manufacturing, transport, and healthcare"--