Ai Driven Iot Systems For Industry 4 0

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Ai Driven Iot Systems For Industry 4 0

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Author : Deepa Jose
language : en
Publisher: CRC Press
Release Date : 2024-07-30

Ai Driven Iot Systems For Industry 4 0 written by Deepa Jose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.

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.

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.

Artificial Intelligence And Lot

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Author : Dr. Anshad A. S.
language : en
Publisher: RK Publication
Release Date : 2025-02-17

Artificial Intelligence And Lot written by Dr. Anshad A. S. and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.

Artificial Intelligence and IoT the convergence of AI and the Internet of Things, detailing how intelligent systems enhance automation, decision-making, and connectivity. This examines AI-driven IoT applications, including smart cities, healthcare, industrial automation, and autonomous vehicles. It delves into key technologies such as machine learning, edge computing, and cloud integration, highlighting their role in optimizing efficiency and security. With insights into real-world case studies and future trends, this serves as a comprehensive guide for professionals, researchers, and students seeking to understand the transformative impact of AI and IoT on modern industries.

Knowledge Management And Industry Revolution 4 0

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Author : Rajendra Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-22

Knowledge Management And Industry Revolution 4 0 written by Rajendra Kumar 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 2024-10-22 with Computers categories.

Get up to speed with how the latest knowledge management and industry 4.0 technologyhelp make enterprises secure, controlled, and optimized for a better future. This book focuses on how the practices of Industrial Revolution 4.0 and knowledge management interact to create value. In recent years, value chain relationships and related activities have utilized new technologies so that existing conceptual frameworks require a roadmap for innovation strategies and effective implementation. The chapters in this book include case studies contributed by researchers and industry practitioners that showcase the impact of practices and challenges presented by technological changes, upgrading of old systems, and internal and external factors. Knowledge Management and Industrial Revolution 4.0 describes how knowledge management impacts the automation of the industry in secure, controlled, and optimized ways. For instance, the use of the latest technologies and sensors can lead to significant time and cost savings, and operators can utilize their machines and equipment from remote locations. The Industrial Revolution 4.0 incorporates the latest technologies for automation and, in many cases, the result is similar to working from home, even in manufacturing. The use of deep learning should offer many quality control benefits. Furthermore, blockchain technology can help the industry with automation in secure and transparent ways. Apart from industry automation, other departments like human resources can also use effective knowledge management for better outcomes. The use of HR knowledge management allows employees to find and access the information they require without the assistance of the HR department. The book focuses on every aspect of the industry to help all the stakeholders of an organization. The benefits include a reduction in time required for accessing information, easier training, decreased operational expenses, improved stakeholders’ satisfaction, faster problem-solving, increased pace of innovation, simpler employee review and progress reports. Audience The book will have a wide audience within academia, education, businesses, and industrial organizations, especially those who are undergoing industry 4.0 changes to optimize for a better future.

Topics In Artificial Intelligence Applied To Industry 4 0

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Author : Mahmoud Ragab AL-Refaey
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-28

Topics In Artificial Intelligence Applied To Industry 4 0 written by Mahmoud Ragab AL-Refaey 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 2024-03-28 with Computers categories.

Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

Mastering Iot For Industrial Environments Unlock The Iot Landscape For Industrial Environments With Industry 4 0 Covering Architecture Protocols Like Mqtt And Advancements With Esp Idf

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Author : Shrey Sharma
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-03-06

Mastering Iot For Industrial Environments Unlock The Iot Landscape For Industrial Environments With Industry 4 0 Covering Architecture Protocols Like Mqtt And Advancements With Esp Idf written by Shrey Sharma and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-06 with Computers categories.

Powering Industrial Growth with IoT Innovations. Key Features ● Unlock the potential of IoT across industries while honing your skills to design and build IoT devices. ● Dive into architectural frameworks, enriched with real-world examples, to navigate IoT complexities and implement effective solutions for tangible results. ● Gain insights into emerging trends shaping the future of IoT and Industry 4.0. Book Description Embark on a journey through the transformative landscape of IoT with this comprehensive guide, “Mastering IoT For Industrial Environments”. From its inception in the Industrial Revolution to its pivotal role in Industry 4.0, each chapter provides a deep dive into essential concepts. It will explore IoT architecture, microcontrollers, communication protocols, and interfacing protocols. Delve into MQTT, the protocol for IoT, and machine-to-machine communication. Discover the transition to ESP-IDF and the future of IoT in Industry 4.0. This book provides readers with practical insights into implementing IoT solutions within industrial contexts. Through a meticulously curated array of case studies and real-world applications, readers gain invaluable perspectives on the prevailing IoT trends shaping industrial landscapes. Spanning from intelligent factories and predictive maintenance to supply chain optimization and energy management, the book addresses a spectrum of topics reflective of contemporary industrial challenges and opportunities. What you will learn ● Gain a comprehensive understanding of Industry 4.0, delving into its historical context and core principles, with a focus on its technological cornerstone, IoT. ● Explore the layered architecture of IoT, covering perception, network, cloud, and application layers. ● Dive into the functionalities and applications of microcontrollers in IoT projects, particularly Arduino and ESP microcontrollers for beginners. ● Understand the IoT product development framework and the significance of machine-to-machine communication in the IoT ecosystem across various domains. ● Comprehend the diverse communication protocols used in IoT systems, analyzing their strengths, weaknesses, and practical applications. Table of Contents 1. Industrial Revolution with IoT 2. The Architecture of IoT 3. Microcontrollers – The Brain Behind IoT Devices 4. Communication Protocols in IoT 5. Introduction to Interfacing Protocols 6. MQTT – The Protocol for Internet of Things 7. Machine-to-Machine Communication 8. Shifting to ESP-IDF 9. IoT in Industry 4.0 Index

Artificial Intelligence And Machine Learning For Industry 4 0

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Author : M. Thirunavukkarasan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-09

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 2025-07-09 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.

Intelligent Analytics For Industry 4 0 Applications

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Author : Avinash Chandra Pandey
language : en
Publisher: CRC Press
Release Date : 2023-06-06

Intelligent Analytics For Industry 4 0 Applications written by Avinash Chandra Pandey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Business & Economics categories.

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.

Quality In The Era Of Industry 4 0

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Author : Kai Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-04

Quality In The Era Of Industry 4 0 written by Kai Yang 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 2024-01-04 with Technology & Engineering categories.

QUALITY IN THE ERA OF INDUSTRY 4.0 Enables readers to use real-world data from connected devices to improve product performance, detect design vulnerabilities, and design better solutions Quality in the Era of Industry 4.0 provides an insightful guide to harnessing user performance and behavior data through AI and other Industry 4.0 technologies. This transformative approach enables companies to not only optimize products and services in real-time, but also to anticipate and mitigate likely failures proactively. In a succinct and lucid style, the book presents a pioneering framework for a new paradigm of quality management in the Industry 4.0 landscape. It introduces groundbreaking techniques such as utilizing real-world data to tailor products for superior fit and performance, leveraging connectivity to adapt products to evolving needs and use-cases, and employing cutting-edge manufacturing methods to create bespoke, cost-effective solutions with greater efficiency. Case examples featuring applications from the automotive, mobile device, home appliance, and healthcare industries are used to illustrate how these new quality approaches can be used to benchmark the product’s performance and durability, maintain smart manufacturing, and detect design vulnerabilities. Written by a seasoned expert with experience teaching quality management in both corporate and academic settings, Quality in the Era of Industry 4.0 covers topics such as: Evolution of quality through industrial revolutions, from ancient times to the first and second industrial revolutions Quality by customer value creation, explaining differences in producers, stakeholders, and customers in the new digital age, along with new realities brought by Industry 4.0 Data quality dimensions and strategy, data governance, and new talents and skill sets for quality professionals in Industry 4.0 Automated product lifecycle management, predictive quality control, and defect prevention using technologies like smart factories, IoT, and sensors Quality in the Era of Industry 4.0 is a highly valuable resource for product engineers, quality managers, quality engineers, quality consultants, industrial engineers, and systems engineers who wish to make a participatory approach towards data-driven design, economical mass-customization, and late differentiation.

Ai Powered Lean

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Author : Mohammed Hamed Ahmed Soliman
language : en
Publisher: Mohammed Hamed Ahmed Soliman
Release Date : 2025-07-17

Ai Powered Lean written by Mohammed Hamed Ahmed Soliman and has been published by Mohammed Hamed Ahmed Soliman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Technology & Engineering categories.

In AI-Powered Lean, engineering expert and systems thinker Mohammed Hamed Ahmed Soliman delivers a groundbreaking guide to transforming traditional Lean practices using modern artificial intelligence. This book is your practical roadmap to faster results, smarter decisions, and scalable improvement. Whether you're in healthcare, government, education, or manufacturing, AI-Powered Lean helps you reimagine how value is created—and how waste is eliminated—with the aid of intelligent tools. What You’ll Learn: Foundations of Lean and AI: Get a clear, non-technical understanding of value, flow, pull, perfection—and how neural networks, NLP, and machine learning fit in. Step-by-Step DMAIC + AI Integration: Use AI at every Lean Six Sigma phase: define, measure, analyze, improve, and control—complete with real-world case studies. Tools & Techniques: From ChatGPT and Python to digital twins, process mining, and no-code AI platforms, this is your go-to toolbox for modern problem-solving. Human + Machine Collaboration: Learn how to create a culture of trust, transparency, and continuous learning—where AI enhances, not replaces, human judgment. Industry 4.0 Ready: Discover how Lean 4.0 integrates IoT, cloud computing, and AI to build smart, adaptive, and resilient organizations. Who This Book Is For: Lean Six Sigma practitioners seeking next-gen capabilities Operations and process improvement professionals Public sector leaders and digital transformation agents Engineers, data scientists, and AI enthusiasts exploring practical applications Executives aiming for strategic agility in a data-driven world Bonus Features: AI coaching templates for Lean teams A readiness checklist for digital Lean maturity The “AI-Powered Lean Leader’s Pledge” for ethical innovation