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  • Scientific Machine Learning with Engineering Applications

    Series series Artificial Intelligence (R0)
    This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established principles from mechanics, numerical analysis, and scientific computing with emerging physics-based learning approaches, enabling reliable modeling, simulation, optimization, and inverse analysis ... Read more

    $153.69 CAD

  • Computational Methods Based on Peridynamics and Nonlocal Operators

    Theory and Applications

    Series series Engineering (R0)
    This book provides an overview of computational methods based on peridynamics and nonlocal operators and their application to challenging numerical problems which are difficult to deal with traditional methods such as the finite element method, material failure being “only” one of them. The authors have also developed a higher-order nonlocal operator approaches capable of solving higher-order ... Read more

    $217.79 CAD

  • Extended Finite Element and Meshfree Methods

    Extended Finite Element and Meshfree Methods provides an overview of, and investigates, recent developments in extended finite elements with a focus on applications to material failure in statics and dynamics. This class of methods is ideally suited for applications, such as crack propagation, two-phase flow, fluid-structure-interaction, optimization and inverse analysis because they do not ... Read more

    $132.79 CAD

  • Machine Learning in Modeling and Simulation

    Methods and Applications

    Series series Intelligent Technologies and Robotics (R0)
    Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis ... Read more

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  • Proceedings of the International Conference on Advances in Computational Mechanics 2017

    ACOME 2017, 2 to 4 August 2017, Phu Quoc Island, Vietnam

    Series series Springer Nature Proceedings excluding Computer Science
    This book provides an overview of state-of-the-art methods in computational engineering for modeling and simulation.This proceedings volume includes a selection of refereed papers presented at the International Conference on Advances in Computational Mechanics (ACOME) 2017, which took place on Phu Quoc Island, Vietnam on August 2-4, 2017.The contributions highlight recent advances in and ... 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 and Applications
    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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    Non-deterministic Mechanics

    This book comprised of three separate volumes presents the recent developments and research discoveries in structural and solid mechanics; it is dedicated to Professor Isaac Elishakoff. This third volume is devoted to non-deterministic mechanics.Modern Trends in Structural and Solid Mechanics 3 has broad scope, covering topics such: design optimization under uncertainty, interval field ... Read more

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  • Information Science for Materials Discovery and Design

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    This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as ... Read more

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  • Scientific Machine Learning

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  • Set Theory-Based Spacecraft Dynamics and Control

    Series series Mathematics and Statistics (R0)
    This book presents a unified set theory-based framework for spacecraft dynamics and control under multi-source uncertainties and data-sparse conditions. First, it develops reduced-order modeling techniques for high-dimensional spacecraft dynamics by introducing interval and convex set-based uncertainty descriptions, enabling efficient model reduction while rigorously quantifying unknown-but ... Read more

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  • Advanced Computing in Industrial Mathematics

    13th Annual Meeting of the Bulgarian Section of SIAM, December 18-20, 2018, Sofia, Bulgaria, Revised Selected Papers

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