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The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the;
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This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020;
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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;
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This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science;
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This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour;
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dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;
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dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;
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The definitive guide to building data-driven Android applications for enterprise systems Android devices represent a rapidly growing share;
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unprecedented interaction between mathematics and the physical and engineering sciences. Recently, optimal control theory for dynamic systems driven by;
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-Measure student learning and program effectiveness -Evaluate student progress -Use data to improve instruction -Integrate a Dynamic Planning;
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-Measure student learning and program effectiveness -Evaluate student progress-Use data to improve instruction -Integrate a Dynamic Planning;
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Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies;
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theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal;
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Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus;
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From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems illuminates the underlying mathematics of semi-tensor product (STP;
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The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover;
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Higher Order Dynamic Mode Decomposition and Its Applications provides detailed background theory, as well as several fully explained;
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incorporate dynamic mapping services into Web applications. Beginning Google Maps Applications with Rails and Ajax takes a developer's perspective;
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presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem;
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presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem;
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The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover;
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-life; dynamic modeling of time-series or longitudinal personality data; network modeling and simulation; and systems-theoretical models;
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CNT sensors for SHM systems, human-machine interfaces for structural inspection, dynamic data driven application systems (DDDAS), and more;
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redesigned to meet today's mechanical design challenges, this classic handbook provides a practical overview of the complex principles and data;
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research-based, data-driven, and outcome-focused approach.;
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Martin Schymanietz explores dynamic capabilities that help organizations to cope with the challenges and chances of the utilization of data;
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in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical;
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