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  • Gravitational Wave Science with Machine Learning

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    Series series Physics and Astronomy (R0)
    This book highlights the state of the art of machine learning applied to the science of gravitational waves. The main topics of the book range from the search for astrophysical gravitational wave signals to noise suppression techniques and control systems using machine learning-based algorithms. During the four years of work in the COST Action CA17137-A network for Gravitational Waves, Geophysics ... Read more

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    This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics.The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel ... Read more

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  • Slow Electronics with Reservoir Computing

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    Edited by Isao H. Inoue ...
    Series series Computer Science (R0)
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  • Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

    Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, ... Read more

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  • IAENG Transactions on Engineering Technologies

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    This book contains fifty-eight revised and extended research articles written by prominent researchers participating in the Advances in Engineering Technologies and Physical Science conference, held in London, U.K., 4-6 July, 2012.Topics covered include Applied and Engineering Mathematics, Computational Statistics, Mechanical Engineering, Bioengineering, Internet Engineering, Wireless Networks, ... Read more

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  • Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes

    Series series Springer Nature Proceedings excluding Computer Science
    This is an open access book reporting the results of nine years research of the International Research Training Group (IRTG) 2057, funded by the German Research Foundation (DFG). The IRTG is a joint venture between the TU Kaiserslautern, the University of California Berkeley**,** and University of California Davis.The book is content-driven mainly by two disciplines: engineering and computer ... Read more

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  • Advances in Neuromorphic Memristor Science and Applications

    Series series Biomedical and Life Sciences (R0)
    Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future ... Read more

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  • Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    Series series IEEE Press Series on Electromagnetic Wave Theory
    Advances in Electromagnetics Empowered by Artificial Intelligence and Deep LearningAuthoritative reference on the state of the art in the field with additional coverage of important foundational conceptsAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device ... Read more

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  • Artificial Intelligence in Manufacturing

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    Series series Springer Nature Proceedings excluding Computer Science
    This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational astronomy. The book ... Read more

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    Series series Physics and Astronomy (R0)
    This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of ... Read more

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    Series series Computer Science (R0)
    The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition.Astronomical study ... Read more

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