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Big Data Applications in Industry 4.0

Author : P. Kaliraj
Publisher : CRC Press
ISBN 13 : 1000537668
Total Pages : 446 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Big Data Applications in Industry 4.0 by : P. Kaliraj

Download or read book Big Data Applications in Industry 4.0 written by P. Kaliraj and published by CRC Press. This book was released on 2022-02-10 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Industry 4.0, AI, and Data Science

Author : Vikram Bali
Publisher : CRC Press
ISBN 13 : 1000413454
Total Pages : 283 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Industry 4.0, AI, and Data Science by : Vikram Bali

Download or read book Industry 4.0, AI, and Data Science written by Vikram Bali and published by CRC Press. This book was released on 2021-07-20 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.

Industry 4.0 Interoperability, Analytics, Security, and Case Studies

Author : G. Rajesh
Publisher : CRC Press
ISBN 13 : 1000337944
Total Pages : 263 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Industry 4.0 Interoperability, Analytics, Security, and Case Studies by : G. Rajesh

Download or read book Industry 4.0 Interoperability, Analytics, Security, and Case Studies written by G. Rajesh and published by CRC Press. This book was released on 2021-01-30 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects. Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges. Researchers, academicians, and those working in industry around the globe will find this book of interest. FEATURES Provides an understanding of the drivers and enablers of Industry 4.0 Includes real case studies of various applications for different fields Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas Covers design, implementation challenges, and interoperability Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies

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

Industry 4.0, Smart Manufacturing, and Industrial Engineering

Author : Amit Kumar Tyagi
Publisher : CRC Press
ISBN 13 : 1040116906
Total Pages : 389 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Industry 4.0, Smart Manufacturing, and Industrial Engineering by : Amit Kumar Tyagi

Download or read book Industry 4.0, Smart Manufacturing, and Industrial Engineering written by Amit Kumar Tyagi and published by CRC Press. This book was released on 2024-09-16 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering. Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness. The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.

Data Mining and Predictive Analytics

Author : Daniel T. Larose
Publisher : John Wiley & Sons
ISBN 13 : 1118868676
Total Pages : 827 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Mining and Predictive Analytics by : Daniel T. Larose

Download or read book Data Mining and Predictive Analytics written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2015-02-19 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

Guide to Industrial Analytics

Author : Richard Hill
Publisher : Springer Nature
ISBN 13 : 3030791041
Total Pages : 285 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Guide to Industrial Analytics by : Richard Hill

Download or read book Guide to Industrial Analytics written by Richard Hill and published by Springer Nature. This book was released on 2021-09-27 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.

Data Integrity and Quality

Author : Santhosh Kumar Balan
Publisher : BoD – Books on Demand
ISBN 13 : 1839687983
Total Pages : 154 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Data Integrity and Quality by : Santhosh Kumar Balan

Download or read book Data Integrity and Quality written by Santhosh Kumar Balan and published by BoD – Books on Demand. This book was released on 2021-06-23 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.

Machine Learning and Data Analytics for Solving Business Problems

Author : Bader Alyoubi
Publisher : Springer Nature
ISBN 13 : 3031184831
Total Pages : 214 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Machine Learning and Data Analytics for Solving Business Problems by : Bader Alyoubi

Download or read book Machine Learning and Data Analytics for Solving Business Problems written by Bader Alyoubi and published by Springer Nature. This book was released on 2022-12-15 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.

Data Analytics and Business Intelligence

Author : Vincent Charles
Publisher : CRC Press
ISBN 13 : 1000909263
Total Pages : 275 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data Analytics and Business Intelligence by : Vincent Charles

Download or read book Data Analytics and Business Intelligence written by Vincent Charles and published by CRC Press. This book was released on 2023-06-15 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.

Artificial Intelligence, Data Science and Applications

Author : Yousef Farhaoui
Publisher : Springer Nature
ISBN 13 : 3031484657
Total Pages : 590 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence, Data Science and Applications by : Yousef Farhaoui

Download or read book Artificial Intelligence, Data Science and Applications written by Yousef Farhaoui and published by Springer Nature. This book was released on with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018

Author : ConferenceSeries
Publisher : ConferenceSeries
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4./5 ( download)

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Book Synopsis Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 by : ConferenceSeries

Download or read book Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 written by ConferenceSeries and published by ConferenceSeries. This book was released on with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: June 20-22, 2018 Rome, Italy Key Topics : Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data in Nursing Research, Data Mining and Machine Learning, Big Data Analytics, Optimization and Big Data, Big data technologies, Big Data algorithm, Big Data Applications, Forecasting from Big Data, Data Mining Methods and Algorithms, Artificial Intelligence, Data privacy and ethics, Data Warehousing, Data Mining Tools and Software, Data Mining Tasks and Processes, Data Mining analysis, Cloud computing, Internet of things (IOT), Social network analysis, Complexity and algorithms, Business Analytics, Open data, New visualization techniques, Search and data mining, Frequent pattern mining, Clustering, Others

Big Data Analytics for Smart and Connected Cities

Author : Nilanjan Dey
Publisher : Engineering Science Reference
ISBN 13 : 9781522562092
Total Pages : 0 pages
Book Rating : 4.5/5 (62 download)

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Book Synopsis Big Data Analytics for Smart and Connected Cities by : Nilanjan Dey

Download or read book Big Data Analytics for Smart and Connected Cities written by Nilanjan Dey and published by Engineering Science Reference. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.

Microgrids

Author : Ghous Bakhsh Narejo
Publisher : CRC Press
ISBN 13 : 1000457516
Total Pages : 292 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Microgrids by : Ghous Bakhsh Narejo

Download or read book Microgrids written by Ghous Bakhsh Narejo and published by CRC Press. This book was released on 2021-10-12 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses the needs of researchers on the fundamentals as well as more advanced knowledge on microgrids and their evolution. This book covers newly emerging trends in fields such as Computer Science, Energy, Electrical Engineering, and Electronics and brings the reader up-to-date on the new emerging fields that play an important role in the power infrastructure. This book provides knowledge on decision making for newly evolving trends in microgrid design. It discusses techniques on how to improve the existing power quality and reduce load shedding and power imbalances. The book presents the emerging fields that now play an important role in microgrid design such as Data Science, Machine Learning, AI, and IT. The readership includes researchers, academia, practicing engineers, consumers, power companies and policy makers located across the globe.

New Technologies, Development and Application II

Author : Isak Karabegović
Publisher : Springer
ISBN 13 : 3030180727
Total Pages : 832 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis New Technologies, Development and Application II by : Isak Karabegović

Download or read book New Technologies, Development and Application II written by Isak Karabegović and published by Springer. This book was released on 2019-04-23 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on 27th–29th June 2019. It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems, smart grids, as well as nonlinear, power, social and economic systems. We are currently experiencing the Fourth Industrial Revolution “Industry 4.0”, and its implementation will improve many aspects of human life in all segments, and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market.

Computational Modelling in Industry 4.0

Author : Irfan Ali
Publisher : Springer Nature
ISBN 13 : 9811677239
Total Pages : 374 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Modelling in Industry 4.0 by : Irfan Ali

Download or read book Computational Modelling in Industry 4.0 written by Irfan Ali and published by Springer Nature. This book was released on 2022-02-12 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.

Entrepreneurship and Big Data

Author : Meghna Chhabra
Publisher : CRC Press
ISBN 13 : 1000455696
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Entrepreneurship and Big Data by : Meghna Chhabra

Download or read book Entrepreneurship and Big Data written by Meghna Chhabra and published by CRC Press. This book was released on 2021-09-30 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.