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    Fundamentals, Algorithms, and Applications

    de Wang-Ji Yan ...
    Series series Engineering (R0)
    This book provides an in-depth and systematic introduction to transmissibility-based system identification and its role in modern structural health monitoring (SHM). It establishes transmissibility as a paradigm-shifting framework for SHM, advancing beyond traditional input-output and output-only methods to propose a unified output-output paradigm. This innovative approach reduces reliance on ... Leer más

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    This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks ... Leer más

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  • Time-Frequency Signal Analysis and Processing

    A Comprehensive Reference

    Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement ... Leer más

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  • Mathematical Analysis and Numerical Methods

    IACMC 2023, Zarqa, Jordan, May 10–12

    Series series Springer Nature Proceedings excluding Computer Science
    This book presents a thoughtful compilation of chapters derived from the proceedings of the 8th International Arab Conference on Mathematics and Computations (IACMC 2023), held at Zarqa University in Zarqa, Jordan, from 10–12 May 2023. Encompassing a broad spectrum of themes crucial to contemporary research and development, the book delved into subjects ranging from partial and differential ... Leer más

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  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    de Hong Cheng ...
    Series series Computer Science (R0)
    This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, ... Leer más

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  • Academic Press Library in Signal Processing

    Signal Processing Theory and Machine Learning

    Series Libro 1 - Academic Press Library in Signal Processing
    This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain ... Leer más

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  • Visual Quality Assessment by Machine Learning

    Series series Engineering (R0)
    The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML ... Leer más

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  • Computational Mathematics and Numerical Analysis

    CSAMCS 2023, Nanjing, China, November 10–12, 2023

    Edición de Wanyang Dai, Jichun Li ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book represents the proceedings of the 3rd International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2023), held from November 10th to 12th, 2023 in Nanjing, China, hosted by Nanjing University. This conference proceedings aims to encapsulate the essence of the conference by featuring papers that discuss topics such as Computational Mathematics and Numerical ... Leer más

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  • Neural Dynamics for Time-varying Problems

    Advances and Applications

    Series series Artificial Intelligence (R0)
    This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, ... Leer más

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  • Introduction to Time-Delay Systems

    Analysis and Control

    Series series Mathematics and Statistics (R0)
    The beginning of the 21st century can be characterized as the” time-delay boom” leading to numerous important results. The purpose of this book is two-fold, to familiarize the non-expert reader with time-delay systems and to provide a systematic treatment of modern ideas and techniques for experts. This book is based on the course ”Introduction to time-delay systems” for graduate students in ... Leer más

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  • Handbook of Convex Optimization Methods in Imaging Science

    Edición de Vishal Monga ...
    Series series Computer Science (R0)
    This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems. The first part ... Leer más

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  • Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems

    Model-Based and Data-Driven Perspectives

    Series series Mechanical Engineering (R0)
    This book introduces recent developments and trends of S-T abnormality diagnosis for industrial distributed parameter systems (DPSs). As a typical representative of industrial processes, DPSs widely exist in both process and discrete manufacturing and operations, such as the snap curing oven in chip manufacturing, the tubular reactor in chemical manufacturing, the soft robots in special operations ... Leer más

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