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  • Software Defined Systems

    Sensing, Communication and Computation

    Series series Computer Science (R0)
    This book introduces the software defined system concept, architecture, and its enabling technologies such as software defined sensor networks (SDSN), software defined radio, cloud/fog radio access networks (C/F-RAN), software defined networking (SDN), network function virtualization (NFV), software defined storage, virtualization and docker. The authors also discuss the resource allocation and ... Read more

    $49.49 USD

  • Tensor Computation for Seismic Data Processing

    Linking Theory and Practice

    Series series Earth and Environmental Science (R0)
    This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial engineers alike. Tensor emerges as a natural representation of multi-dimensional modern seismic data, and tensor computation can help prevent possible harm to the multi-dimensional geological ... Read more

    $170.09 USD

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  • Machine Learning with Quantum Computers

    Series series Physics and Astronomy (R0)
    This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum ... Read more

    $116.09 USD

  • Quantum Machine Learning and Optimisation in Finance

    On the Road to Quantum Advantage

    Learn the principles of quantum machine learning and how to apply themWhile focus is on financial use cases, all the methods and techniques are transferable to other fieldsPurchase of Print or Kindle includes a free eBook in PDFKey FeaturesDiscover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methodsUse methods of analogue and digita... ... Read more

    $43.19 USD or Free with Kobo Plus

  • Nonlinear System Identification

    NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains

    Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice.Includes coverage of ... Read more

    $130.00 USD

  • Quantum Computing

    A New Era of Computing

    QUANTUM COMPUTINGA helpful introduction to all aspects of quantum computingQuantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Where ordinary computing uses bits, logical values whose position can either be 0 or 1, quantum computing is built around qubits, a fundamental unit of quantum ... Read more

    $111.00 USD

  • 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 ... Read more

    $106.19 USD

  • Neural-Based Orthogonal Data Fitting

    The EXIN Neural Networks

    Series Book 66 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
    The presentation of a novel theory in orthogonal regressionThe literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.The book ... Read more

    $91.99 USD

  • Multiscale Structural Topology Optimization

    by Liang Xia ...
    Multiscale Structural Topology Optimization discusses the development of a multiscale design framework for topology optimization of multiscale nonlinear structures. With the intention to alleviate the heavy computational burden of the design framework, the authors present a POD-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design ... Read more

    $89.99 USD

  • Artificial Intelligence for Scientific Discoveries

    Extracting Physical Concepts from Experimental Data Using Deep Learning

    by 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 ... Read more

    $125.99 USD

  • Introduction to Quantum Computing & Machine Learning Technologies

    1, #1

    Series Book 1 - 1
    Quantum computing is a sophisticated approach to making parallel calculations, using the physics that governs subatomic particles to replace the more simplistic transistors in today's computers. Therefore it holds the promise to solve some of our planet's biggest challenges - in the areas of environment, agriculture, health, energy, climate, materials science, and others we haven't encountered yet ... Read more

    $25.00 USD or Free with Kobo Plus

  • Essentials of Computational Electromagnetics

    Series series IEEE Press
    Essentials of Computational Electromagnetics provides an in-depth introduction of the three main full-wave numerical methods in computational electromagnetics (CEM); namely, the method of moment (MoM), the finite element method (FEM), and the finite-difference time-domain (FDTD) method. Numerous monographs can be found addressing one of the above three methods. However, few give a broad general ... Read more

    $130.00 USD