Using Real Time Data And Ai For Thrust Manufacturing

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Using Real-Time Data and AI for Thrust Manufacturing

Author : D. Satishkumar
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Real-Time Data and AI for Thrust Manufacturing by : D. Satishkumar

Download or read book Using Real-Time Data and AI for Thrust Manufacturing written by D. Satishkumar and published by . This book was released on 2024-05-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear-to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies. The target audience for this comprehensive guide includes professionals, policymakers, budding researchers, academicians, and industry experts seeking a deep dive into the transformative power of AI in manufacturing. With a unique thematic focus on AI's societal benefits, resource efficiency, and enhanced quality of life, this book stands out in the global market. The recommended topics within the book cover the spectrum of real-time data and AI applications, intelligent document processing, vendor-manufacturer communication, future trends in AI-enabled manufacturing, and the transformative potential of AI in various manufacturing sub-sectors. Using Real-Time Data and AI for Thrust Manufacturing is the definitive solution for those eager to navigate the complexities of Industry 4.0 and harness the true potential of AI in manufacturing.

Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 390 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI by : Satishkumar, D.

Download or read book Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

Using Real-Time Data and AI for Thrust Manufacturing

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 368 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Real-Time Data and AI for Thrust Manufacturing by : Satishkumar, D.

Download or read book Using Real-Time Data and AI for Thrust Manufacturing written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clearto revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.

Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights

Author : Senthilkumar, K.R.
Publisher : IGI Global
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights by : Senthilkumar, K.R.

Download or read book Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights written by Senthilkumar, K.R. and published by IGI Global. This book was released on 2024-05-17 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.

Intelligent Decision Making Through Bio-Inspired Optimization

Author : Jaganathan, Ramkumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 291 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Intelligent Decision Making Through Bio-Inspired Optimization by : Jaganathan, Ramkumar

Download or read book Intelligent Decision Making Through Bio-Inspired Optimization written by Jaganathan, Ramkumar and published by IGI Global. This book was released on 2024-04-15 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

Author : Pankaj Bhambri
Publisher : CRC Press
ISBN 13 : 1003828965
Total Pages : 350 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things by : Pankaj Bhambri

Download or read book Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things written by Pankaj Bhambri and published by CRC Press. This book was released on 2023-12-22 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.

Big Data Analytics in Smart Manufacturing

Author : P Suresh
Publisher : CRC Press
ISBN 13 : 1000815749
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data Analytics in Smart Manufacturing by : P Suresh

Download or read book Big Data Analytics in Smart Manufacturing written by P Suresh and published by CRC Press. This book was released on 2022-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

Predictive Maintenance in Smart Factories

Author : Tania Cerquitelli
Publisher : Springer Nature
ISBN 13 : 9811629404
Total Pages : 239 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Predictive Maintenance in Smart Factories by : Tania Cerquitelli

Download or read book Predictive Maintenance in Smart Factories written by Tania Cerquitelli and published by Springer Nature. This book was released on 2021-08-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.

AI-Driven Digital Twin and Industry 4.0

Author : Sita Rani
Publisher : CRC Press
ISBN 13 : 1040041132
Total Pages : 339 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI-Driven Digital Twin and Industry 4.0 by : Sita Rani

Download or read book AI-Driven Digital Twin and Industry 4.0 written by Sita Rani and published by CRC Press. This book was released on 2024-06-19 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Perspective on Artificial Intelligence in Manufacturing

Author : George Chryssolouris
Publisher : Springer Nature
ISBN 13 : 3031218280
Total Pages : 142 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis A Perspective on Artificial Intelligence in Manufacturing by : George Chryssolouris

Download or read book A Perspective on Artificial Intelligence in Manufacturing written by George Chryssolouris and published by Springer Nature. This book was released on 2023-01-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.

Intelligent Manufacturing Management Systems

Author : Kamalakanta Muduli
Publisher : John Wiley & Sons
ISBN 13 : 1119836247
Total Pages : 404 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Intelligent Manufacturing Management Systems by : Kamalakanta Muduli

Download or read book Intelligent Manufacturing Management Systems written by Kamalakanta Muduli and published by John Wiley & Sons. This book was released on 2023-05-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTRELLIGENT MANUFACTURING MANAGEMENT SYSTEMS The book explores the latest manufacturing techniques in relation to AI and evolutionary algorithms that can monitor and control the manufacturing environment. The concepts that pertain to the application of digital evolutionary technologies in the sphere of industrial engineering and manufacturing are presented in this book. A few chapters demonstrate stepwise discussion, case studies, structured literature review, rigorous experimentation results, and applications. Further chapters address the challenges encountered by industries in integrating these digital technologies into their operational activities, as well as the opportunities for this integration. In addition, the reader will find: Systemic explanations of the unique characteristics of big data, cloud computing, and AI used for decision-making in intelligent production systems; Highlights of the current and highly relevant topics in manufacturing management; Structured presentations resolving the issues being faced by many real-world applications in a broad range of areas such as smart supply chains, knowledge management, intelligent inventory management, IoT adoption in manufacturing management, and more; Intelligent techniques for sustainable practices in industrial waste management. Audience The book will be used by researchers, industry engineers, and data scientists/AI specialists working in industrial engineering, mechanical engineering, production engineering, manufacturing engineering, and operations and supply chain management. The book will also be valuable to the service sector industry, such as logistics and those implementing smart cities.

AI Factory

Author : Ramin Karim
Publisher : CRC Press
ISBN 13 : 1000865053
Total Pages : 445 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis AI Factory by : Ramin Karim

Download or read book AI Factory written by Ramin Karim and published by CRC Press. This book was released on 2023-05-24 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies

Artificial Intelligence in Industry 4.0

Author : Alexiei Dingli
Publisher : Springer Nature
ISBN 13 : 3030610454
Total Pages : 248 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence in Industry 4.0 by : Alexiei Dingli

Download or read book Artificial Intelligence in Industry 4.0 written by Alexiei Dingli and published by Springer Nature. This book was released on 2021-02-27 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry

Author : Valentina Colla
Publisher : Springer Nature
ISBN 13 : 3030693678
Total Pages : 166 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry by : Valentina Colla

Download or read book Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry written by Valentina Colla and published by Springer Nature. This book was released on 2021-02-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.

AI-Powered Industry

Author : Hebooks
Publisher : Hebooks
ISBN 13 :
Total Pages : 126 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI-Powered Industry by : Hebooks

Download or read book AI-Powered Industry written by Hebooks and published by Hebooks. This book was released on with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI-Powered Industry: How Artificial Intelligence Will Revolutionize Manufacturing" offers an insightful exploration of the transformative impact of artificial intelligence (AI) on the manufacturing landscape. This book delves into the core concepts of AI, its historical evolution, and its relevance to the manufacturing industry. Readers will gain a comprehensive understanding of AI's potential to optimize production, improve efficiency, enhance quality, and enable personalized customization within the manufacturing sector. Through case studies and future projections, this book provides a compelling vision of AI's role in shaping the future of manufacturing.

Smart Manufacturing Factory

Author : Jiafu Wan
Publisher : CRC Press
ISBN 13 : 1000999645
Total Pages : 523 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Smart Manufacturing Factory by : Jiafu Wan

Download or read book Smart Manufacturing Factory written by Jiafu Wan and published by CRC Press. This book was released on 2023-12-14 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.

Artificial Intelligence for Digitising Industry – Applications

Author : Ovidiu Vermesan
Publisher : CRC Press
ISBN 13 : 1000794318
Total Pages : 435 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Digitising Industry – Applications by : Ovidiu Vermesan

Download or read book Artificial Intelligence for Digitising Industry – Applications written by Ovidiu Vermesan and published by CRC Press. This book was released on 2022-09-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.