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Data Science In Engineering Volume 9
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Book Synopsis Data Science in Engineering, Volume 9 by : Ramin Madarshahian
Download or read book Data Science in Engineering, Volume 9 written by Ramin Madarshahian and published by Springer Nature. This book was released on 2021-10-04 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Engineering Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the ninth volume of nine from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Data Science in Engineering Applications Engineering Mathematics Computational Methods in Engineering
Book Synopsis Data Science in Engineering, Volume 10 by : Ramin Madarshahian
Download or read book Data Science in Engineering, Volume 10 written by Ramin Madarshahian and published by Springer Nature. This book was released on 2023-12-07 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Engineering, Volume 10: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Book Synopsis Emotional Engineering, Vol. 9 by : Shuichi Fukuda
Download or read book Emotional Engineering, Vol. 9 written by Shuichi Fukuda and published by Springer Nature. This book was released on 2022-07-16 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the latest volume in the series of Springer titles on emotional engineering tracking the development of this field. Engineering has been based on the Euclidean space approach and it was numerical data-centric. In short, our engineering up to now has been control-based, i.e., on tactics and problem solving. When we realize AI consumes 10,000 times more energy than human brain, we understand how it is better to use 10,000 people’s minds. But current society is industrial society. The industrial revolution introduced division of labour and we started to work for others. But the tremendous consumption of energy indicates that we need to move toward another society. If we can make the next society a self-Satisfying society (SSS) and create a new sustainable society with greater mental wellbeing then many emerging problems will be solved and we can enjoy our lives better. Emotional engineering engages with this challenge.
Book Synopsis Data Science in Engineering, Volume 9 by : Ramin Madarshahian
Download or read book Data Science in Engineering, Volume 9 written by Ramin Madarshahian and published by Springer Nature. This book was released on 2022-07-04 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics
Book Synopsis Data Science in Engineering and Management by : Zdzislaw Polkowski
Download or read book Data Science in Engineering and Management written by Zdzislaw Polkowski and published by CRC Press. This book was released on 2021-12-31 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
Book Synopsis Data Engineering and Data Science by : Kukatlapalli Pradeep Kumar
Download or read book Data Engineering and Data Science written by Kukatlapalli Pradeep Kumar and published by John Wiley & Sons. This book was released on 2023-08-29 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.
Book Synopsis International Conference on Recent Advancements in Science and Engineering (RAiSE ‘23) by : KMCT College of Engineering for Women
Download or read book International Conference on Recent Advancements in Science and Engineering (RAiSE ‘23) written by KMCT College of Engineering for Women and published by Book Rivers. This book was released on 2023-05-09 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dynamic Data Driven Applications Systems by : Erik Blasch
Download or read book Dynamic Data Driven Applications Systems written by Erik Blasch and published by Springer Nature. This book was released on with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence by : Arif Ahmed Sk
Download or read book Artificial Intelligence written by Arif Ahmed Sk and published by Springer Nature. This book was released on 2023-01-01 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022. The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses; and applied artificial intelligence. .
Book Synopsis Cross Reality and Data Science in Engineering by : Michael E. Auer
Download or read book Cross Reality and Data Science in Engineering written by Michael E. Auer and published by Springer Nature. This book was released on 2020-08-20 with total page 1036 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on “Cross Reality and Data Science in Engineering” which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.
Book Synopsis Structural Health Monitoring/Management (SHM) in Aerospace Structures by : Fuh-Gwo Yuan
Download or read book Structural Health Monitoring/Management (SHM) in Aerospace Structures written by Fuh-Gwo Yuan and published by Elsevier. This book was released on 2024-04-30 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM) Management. The SHM field encompasses transdisciplinary areas, including smart materials, sensors and actuators, damage diagnosis and prognosis, signal and image processing algorithms, wireless intelligent sensing, data fusion, and energy harvesting. This book focuses on how SHM techniques can be applied to aircraft, mechanical and civil engineering structures with particular emphasis on composite materials. Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures will be a valuable reference resource for R&D managers, materials scientists and engineers working in the aerospace sector as well as for researchers and system designers working in industry, academia and government research agencies developing new systems for the SHM of aerospace, mechanical and civil engineering structures. Presents new developments in smart materials for sensing and actuation Discusses new developments in mechanical metamaterials Presents the latest on signal/imaging processing for damage diagnosis Explores damage prognosis and integrated vehicle health management (IVHM) Covers new developments in machine learning and artificial Intelligence
Book Synopsis Two Day International Conference on Data Science and Information Ecosystem’21 by : Dr.M.Thangaraj
Download or read book Two Day International Conference on Data Science and Information Ecosystem’21 written by Dr.M.Thangaraj and published by Shanlax Publications. This book was released on with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Science, Data Visualization, and Digital Twins by : Sara Shirowzhan
Download or read book Data Science, Data Visualization, and Digital Twins written by Sara Shirowzhan and published by BoD – Books on Demand. This book was released on 2022-02-02 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.
Book Synopsis Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022) by : R. Somashekhar
Download or read book Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022) written by R. Somashekhar and published by Springer Nature. This book was released on 2023-06-05 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. We are pleased to announce our 3rd International Conference on Bioinformatics and Data Science (ICBDS – 2022) and 9th International Conference on Public Mental Health and Neurosciences (ICPMN – 2022) which was a unique conference where we connectted Biological Function through Computational Genomics to the world of integrated medicine and therapeutics. Functional genomics is a field of molecular biology that attempts to describe gene (and protein) functions and interactions. This science aims to understand the complex relationship between genotype and phenotype on a global (genome-wide) scale of different biological processes. Most researchers now study genes or regions on a “genome-wide” scale (i.e. all or multiple genes/regions at the same time), with the hope of narrowing them down to a list of candidate genes or regions to analyze in more detail. There are several specific functional genomics approaches depending on what we are focused on DNA level (genomics and epigenomics), RNA level (transcriptomics), protein level (proteomics), metabolite level (metabolomics) and phenotype level (phenomics). The recent trends in gene and genome editing technologies, promising genomic information can be modulated in the areas of medicine, agriculture and environment. Big data is a promising in many research areas, but still it is computationally challenging and non-availability of experts to handle big-data with reduced speed and cost. With the increasing use of advanced technology and the exploding amount of big-data in, it is imperative to introduce effective and efficient methods to handle big data using computing technologies. The big data analytics technique is required to solve the problems in bioinformatics such as the storage of vast information generated by analyzing the big-data. Big data analytics can examine large data sets, analyze and correlate genomic and proteomic information. Big data research finds a huge application in Neuroscience and Brain research. Our unique conference connects genomics to the world of genomics to integrated medicine including yogic sciences.
Book Synopsis Secure Data Science by : Bhavani Thuraisingham
Download or read book Secure Data Science written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2022-04-27 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
Book Synopsis Data Analytics Essentials You Always Wanted To Know by : Vibrant Publishers
Download or read book Data Analytics Essentials You Always Wanted To Know written by Vibrant Publishers and published by Vibrant Publishers. This book was released on 2024-02-29 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Upon reading this book, you will get: A fundamental comprehension of data analytics, including its types An understanding of data analytics processes, software tools, and a range of analytics methodologies A comprehension of what daily tasks and procedures the data analysts follow An investigation into the vast field of big data analytics, covering its possibilities and challenges An understanding of the existing legal frameworks, as well as ethical and privacy issues in data analytics Application-based learning using a variety of real-world case studies From raw data to actionable insights - journey through the essentials of data analytics. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data Data analytics is becoming increasingly important in today's data-driven society, and so has the demand for data analysts. Data Analytics Essentials You Always Wanted to Know (Data Analytics Essentials) is a comprehensive yet succinct manual, perfect for you if you are trying to understand the fundamentals of data analytics. It gives a concise introduction to data analytics and its current applicability. This book is a great tool for professionals switching to a career in data analytics and for students who want to learn the basics of data analytics. It will give you a strong foundation by explaining everything in an easy-to-understand language. Data Analytics Essentials goes beyond a theoretical manual and contains real-world case studies and fun facts to help you enhance your knowledge. The chapter summaries and self- assessment tests along with every chapter will help you test yourself as you move from one concept to the next.
