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  • La furia di Sekhmet

    L’umanità rischia di estinguersi a causa dell’ira della potente Sekhmet. Il caos è ovunque. Solo un ragazzo sarà in grado di fermarla e di riportare l’Ordine sulla terra. ... Leer más

    $15.99 USD o gratis con Kobo Plus

  • Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

    RAMSES

    Series series Mathematics and Statistics (R0)
    This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional ... Leer más

    $143.99 USD

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  • Deep Learning For Physics Research

    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Leer más

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  • Signal Processing for Neuroscientists, A Companion Volume

    Advanced Topics, Nonlinear Techniques and Multi-Channel Analysis

    The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In ... Leer más

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  • Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

    Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world ... Leer más

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  • Process Modelling and Model Analysis

    Series Libro 4 - Process Systems Engineering
    Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models ... Leer más

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  • Artificial Intelligence for Scientific Discoveries

    Extracting Physical Concepts from Experimental Data Using Deep Learning

    de Raban Iten ...
    Series series Physics and Astronomy (R0)
    Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of ... Leer más

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  • Science: Image In Action - Proceedings Of The 7th International Workshop On Data Analysis In Astronomy "Livio Scarsi And Vito Digesu"

    Series series The Science And Culture Series - Astrophysics
    The book gathers articles that were exposed during the seventh edition of the Workshop “Data Analysis in Astronomy”. It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to model complex systems. In that, data analysis would be at the epicentre and a key facilitator of some current ... Leer más

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  • Manifold Learning

    Model Reduction in Engineering

    Series series Computer Science (R0)
    This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by ... Leer más

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  • Statistical Methods for Materials Science

    The Data Science of Microstructure Characterization

    Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. ... Leer más

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  • Image Fusion

    Algorithms and Applications

    The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical and modern algorithms and design architectures, demonstrating through applications how these can be implemented. Image ... Leer más

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  • System Identification

    An Introduction

    Series series Engineering (R0)
    System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text.Following an introduction on system theory, ... Leer más

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