Empowering Sustainable Industrial 40 Systems With Machine Intelligence

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Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Author : Ahmad, Muneer
Publisher : IGI Global
ISBN 13 : 1799892034
Total Pages : 315 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence by : Ahmad, Muneer

Download or read book Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence written by Ahmad, Muneer and published by IGI Global. This book was released on 2022-04-01 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.

Empowering Sustainable Industrial 4. 0 Systems with Machine Intelligence

Author : Muneer Ahmad
Publisher : Business Science Reference
ISBN 13 : 9781799892021
Total Pages : 340 pages
Book Rating : 4.8/5 (92 download)

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Book Synopsis Empowering Sustainable Industrial 4. 0 Systems with Machine Intelligence by : Muneer Ahmad

Download or read book Empowering Sustainable Industrial 4. 0 Systems with Machine Intelligence written by Muneer Ahmad and published by Business Science Reference. This book was released on 2022 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems.

Artificial Intelligence for a Sustainable Industry 4.0

Author : Shashank Awasthi
Publisher : Springer Nature
ISBN 13 : 3030770702
Total Pages : 311 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence for a Sustainable Industry 4.0 by : Shashank Awasthi

Download or read book Artificial Intelligence for a Sustainable Industry 4.0 written by Shashank Awasthi and published by Springer Nature. This book was released on 2021-10-21 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications.

Enabling Systems for Intelligent Manufacturing in Industry 4.0

Author : Arturo Molina
Publisher : Springer Nature
ISBN 13 : 3030655474
Total Pages : 394 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Enabling Systems for Intelligent Manufacturing in Industry 4.0 by : Arturo Molina

Download or read book Enabling Systems for Intelligent Manufacturing in Industry 4.0 written by Arturo Molina and published by Springer Nature. This book was released on 2021-02-08 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.

Sustainability in Industry 4.0

Author : Shwetank Avikal
Publisher : CRC Press
ISBN 13 : 100045441X
Total Pages : 256 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Sustainability in Industry 4.0 by : Shwetank Avikal

Download or read book Sustainability in Industry 4.0 written by Shwetank Avikal and published by CRC Press. This book was released on 2021-10-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A large and growing number of manufacturers are realizing the substantial financial and environmental benefits of sustainable business practices. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic, and social challenges and transform industrial behavior. The objective of this book is to provide the required knowledge and accelerate the transition towards a sustainable industrial system. The book will help industries to enhance operational efficiency by reducing costs and waste. It will help them increase customer response, reach new customers, and gain competitive advantage. It offers innovation, scenario planning, and strategic analysis that goes beyond compliance, as well as case studies and remedies to the industry 4.0 challenges. Professionals, as well as students, can refer to this book to add to their knowledge on Industry 4.0 and develop new ideas and solutions to the existing and future problems.

Crafting a Sustainable Future Through Education and Sustainable Development

Author : Martínez-Falcó, Javier
Publisher : IGI Global
ISBN 13 : 166849602X
Total Pages : 319 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Crafting a Sustainable Future Through Education and Sustainable Development by : Martínez-Falcó, Javier

Download or read book Crafting a Sustainable Future Through Education and Sustainable Development written by Martínez-Falcó, Javier and published by IGI Global. This book was released on 2023-09-25 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where the planet faces unprecedented environmental challenges, such as climate change, loss of biodiversity, and water scarcity, sustainable development has become paramount. Crafting a Sustainable Future Through Education and Sustainable Development delves into the crucial role of educational institutions in shaping a sustainable future from economic, social, and environmental perspectives. By examining new currents and challenges within this discipline, this book provides a valuable study resource that sheds light on the intricate relationship between education and achieving sustainability goals. The book emphasizes the vital role of educational institutions as spaces for fostering new paradigms of human behavior towards the environment. Crafting a Sustainable Future Through Education and Sustainable Development serves as a comprehensive study guide, offering critical reflections and constructive critiques. It covers an array of relevant topics, ranging from artificial intelligence and big data to gender equality, game-based learning, and socio-technological innovation. It is ideal for academics, academic students, and policymakers, this book provides invaluable support for undergraduate and master’s students in business, as well as professionals seeking to deepen their knowledge of the role of education in achieving sustainable development.

Industrial AI

Author : Jay Lee
Publisher : Springer Nature
ISBN 13 : 9811521441
Total Pages : 176 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Industrial AI by : Jay Lee

Download or read book Industrial AI written by Jay Lee and published by Springer Nature. This book was released on 2020-02-07 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.

Artificial Intelligence and Environmental Sustainability

Author : Hui Lin Ong
Publisher : Springer Nature
ISBN 13 : 9811914346
Total Pages : 218 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence and Environmental Sustainability by : Hui Lin Ong

Download or read book Artificial Intelligence and Environmental Sustainability written by Hui Lin Ong and published by Springer Nature. This book was released on 2022-04-29 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.

Intelligent Systems and Industrial Internet of Things for Sustainable Development

Author : C. Kishor Kumar Reddy
Publisher : CRC Press
ISBN 13 : 1040018254
Total Pages : 331 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Systems and Industrial Internet of Things for Sustainable Development by : C. Kishor Kumar Reddy

Download or read book Intelligent Systems and Industrial Internet of Things for Sustainable Development written by C. Kishor Kumar Reddy and published by CRC Press. This book was released on 2024-05-10 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues. It identifies limitations, pitfalls, and open research questions in industry 5.0, discusses real-time problems, and challenges with equivalent solutions with a focus on sustainable growth to develop, humanization and environmentally friendly intelligent system applications. It analyses applications enabled by Industry 5.0 such as healthcare, supply chain, smart framing, remote sensing, production in manufacturing, and cloud manufacturing. It also includes the difficulties and problems posed by the organization between robots and humans on the assembly line to maintain sustainability. Addresses key challenges in implementing intelligent systems in IoT-based applications, including issues ranging from cost and energy efficiency to availability and quality of service Explores the technologies to allow human-machine association and its impact on consumption and sustainability Provides sustainable solutions to emerging industrial problems, especially in healthcare, manufacturing, remote sensing, environmental engineering Examines need for data pre-processing, classification & prediction, Cluster Analysis, Mining Multimedia, Text, and Web Data, Advanced machine learning techniques for scientific programming in Industry Presents success stories in the form of case studies of IIoT, IIoRT, Big Data, Intelligent Systems, Deep Learning in Industry 5.0 era The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology, especially for professionals and researchers interested in the technological side of sustainable development.

Topics in Artificial Intelligence Applied to Industry 4.0

Author : Mahmoud Ragab AL-Refaey
Publisher : John Wiley & Sons
ISBN 13 : 1394216114
Total Pages : 325 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Topics in Artificial Intelligence Applied to Industry 4.0 by : Mahmoud Ragab AL-Refaey

Download or read book Topics in Artificial Intelligence Applied to Industry 4.0 written by Mahmoud Ragab AL-Refaey and published by John Wiley & Sons. This book was released on 2024-07-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Reinventing Manufacturing and Business Processes Through Artificial Intelligence

Author : Geeta Rana
Publisher : CRC Press
ISBN 13 : 1000506045
Total Pages : 193 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Reinventing Manufacturing and Business Processes Through Artificial Intelligence by : Geeta Rana

Download or read book Reinventing Manufacturing and Business Processes Through Artificial Intelligence written by Geeta Rana and published by CRC Press. This book was released on 2021-12-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Author : Alexandre Dolgui
Publisher : Springer Nature
ISBN 13 : 303085874X
Total Pages : 779 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by : Alexandre Dolgui

Download or read book Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems written by Alexandre Dolgui and published by Springer Nature. This book was released on 2021-08-31 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry

Author : Pethuru R. Chelliah
Publisher : John Wiley & Sons
ISBN 13 : 1119985587
Total Pages : 516 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by : Pethuru R. Chelliah

Download or read book The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry written by Pethuru R. Chelliah and published by John Wiley & Sons. This book was released on 2023-12-27 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

Biorefinery and Industry 4.0: Empowering Sustainability

Author : Anuj Kumar Chandel
Publisher : Springer Nature
ISBN 13 : 303151601X
Total Pages : 385 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Biorefinery and Industry 4.0: Empowering Sustainability by : Anuj Kumar Chandel

Download or read book Biorefinery and Industry 4.0: Empowering Sustainability written by Anuj Kumar Chandel and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Sustainable Finance and Sustainable Technology

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3030934640
Total Pages : 637 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence for Sustainable Finance and Sustainable Technology by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence for Sustainable Finance and Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2022-01-01 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

Artificial Intelligence-Augmented Digital Twins

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3031434900
Total Pages : 673 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence-Augmented Digital Twins by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence-Augmented Digital Twins written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2024-01-19 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.

Artificial Intelligence and Industry 4.0

Author : Aboul Ella Hassanien
Publisher : Academic Press
ISBN 13 : 0323906397
Total Pages : 264 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence and Industry 4.0 by : Aboul Ella Hassanien

Download or read book Artificial Intelligence and Industry 4.0 written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2022-08-14 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions