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Artificial Intelligence (R0) Serie de eBooks

1 - 12 de 12 resultados
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  • Neural Dynamics for Time-varying Problems

    Advances and Applications

    de Long Jin, Lin Wei, Xin Lv ...
    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

    $3,311 MXN

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

    de Vladimir G Ivancevic, Darryn J Reid, Michael J Pilling ...
    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

    $1,827 MXN

  • Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

    In Honor of Professor Raytcho Lazarov's 40 Years of Research in Computational Methods and Applied Mathematics

    Edición de Oleg P. Iliev, Svetozar D. Margenov, Peter D Minev, Panayot S. Vassilevski, Ludmil T Zikatanov ...
    Series series Springer Nature Proceedings excluding Computer Science
    One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate ... Leer más

    $2,575 MXN

  • Manifold Learning Theory and Applications

    Edición de Yun Fu, Yunqian Ma ...
    Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread ... Leer más

    $3,441 MXN

  • Sparse Image and Signal Processing

    Wavelets and Related Geometric Multiscale Analysis, Second Edition

    de Jean-Luc Starck, Fionn Murtagh, Jalal Fadili ...
    This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest ... Leer más

    $1,481 MXN

  • 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

    $1,656 MXN

  • Wavelet Theory Approach to Pattern Recognition

    de Yuan Yan Tang, Lixiang Xu ...
    Series Libro 90 - Series in Machine Perception and Artificial Intelligence
    This 3rd edition tackles the basic principle of deep learning as well as the application of combination of wavelet theory with deep learning to pattern recognition. Five new chapters related to the combination of wavelet theory and deep learning are added with many novel research results.The useful reference text will benefit academics, researchers, computer scientists, electronic engineers and ... Leer más

    $2,075 MXN

  • Statistical Methods for Materials Science

    The Data Science of Microstructure Characterization

    Edición de Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef ...
    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

    $1,170 MXN

  • Blind Source Separation

    Theory and Applications

    de Xianchuan Yu, Dan Hu, Jindong Xu ...
    A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studiesThe book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on ... Leer más

    $2,532 MXN

  • Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    Edición de Sawyer D. Campbell, Douglas H. Werner ...
    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 ... Leer más

    $2,148 MXN

  • Mathematical Problems in Data Science

    Theoretical and Practical Methods

    de Li M. Chen, Zhixun Su, Bo Jiang ...
    Series series Computer Science (R0)
    This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book ... Leer más

    $2,024 MXN

  • Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

    de Hongli Dong, Zidong Wang, Huijun Gao ...
    In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the ... Leer más

    $1,883 MXN