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  • Deep Learning for Fluid Simulation and Animation

    Fundamentals, Modeling, and Case Studies

    Series series Mathematics and Statistics (R0)
    This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost.This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of ... Read more

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    by Ziyan Wu ...
    Series series Computer Science (R0)
    This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in ... Read more

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  • Autonomous Intelligent Vehicles

    Theory, Algorithms, and Implementation

    by Hong Cheng ...
    Series series Computer Science (R0)
    This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics ... Read more

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  • Signal and Image Processing for Remote Sensing

    Edited by C.H. Chen ...
    Series series Signal and Image Processing of Earth Observations
    Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the ... Read more

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  • Algorithms for Noise Reduction in Signals

    Theory and practical examples based on statistical and convolutional analysis

    Series series IOP ebooks
    This book is the result of an exhaustive review of the general algorithms used for noise reduction using two general application criteria: one-input, one-output systems, and two-input, one-output systems. The text describes theoretically and experimentally the processes related to high-order statistical analysis algorithms, as well as its practical combination with the convolutional analysis. On ... Read more

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  • Vibration-based Techniques For Damage Detection And Localization In Engineering Structures

    Series Book 10 - Computational And Experimental Methods In Structures
    In the oil and gas industries, large companies are endeavoring to find and utilize efficient structural health monitoring methods in order to reduce maintenance costs and time. Through an examination of the vibration-based techniques, this title addresses theoretical, computational and experimental methods used within this trend.By providing comprehensive and up-to-date coverage of established and ... Read more

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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. ... 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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  • Plenoptic Imaging and Processing

    by Lu Fang ...
    Series series Advances in Computer Vision and Pattern Recognition
    This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to ... Read more

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  • Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

    Series series Advances in Nonlinear Dynamical Systems and Roboticss (ANDC)
    Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects ... Read more

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  • Data-driven Modelling and Scientific Machine Learning in Continuum Physics

    Series series Mathematics and Statistics (R0)
    This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. It develops the foundations and details a number of scientific machine learning approaches to enrich current computational models of continuum physics, or to use the data generated by these models to infer more information on these problems. ... Read more

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  • Computer Vision, Imaging and Computer Graphics: Theory and Applications

    International Joint Conference, VISIGRAPP 2013, Barcelona, Spain, February 21-24, 2013, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 8th International Conference, VISIGRAPP 2013 consisting of the Joint Conferences on Computer Vision (VISAPP), the International Conference on Computer Graphics, GRAPP 2013, and the International Conference on Information Visualization IVAPP 2013, held in Barcelona, Spain, in February 2013. The 15 revised full papers presented were carefully ... Read more

    $49.49 USD