Handbook of Dynamic Data Driven Applications Systems

Table of Contents

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   Book Overview
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   Chapter 1 The Dynamic Data Driven Applications Systems (DDDAS) Paradigm and Emerging Directions
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   Chapter 2 Dynamic Data-Driven Applications Systems and Information-Inference Couplings
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   Chapter 3 Polynomial Chaos Expansion-Based Nonlinear Filtering for Dynamic State Estimation
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   Chapter 4 Measure-Invariant Symbolic Systems for Pattern Recognition and Anomaly Detection
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   Chapter 5 Equation-Free Computations as DDDAS Protocols for Bifurcation Studies: A Granular Chain Example
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   Chapter 6 A Stochastic Dynamic Data-Driven Framework for Real-Time Prediction of Materials Damage in Composites
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   Chapter 7 Dynamic Data-Driven Monitoring of Nanoparticle Self-Assembly Processes
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   Chapter 8 From Data to Decisions: A Real-Time Measurement–Inversion–Prediction–Steering Framework for Hazardous Events and Health Monitoring
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    Chapter 9 Bayesian Computational Sensor Networks: Small-Scale Structural Health Monitoring
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    Chapter 10 Dynamic Data-Driven Sensor Tasking with Applications in Space and Aerospace Systems
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    Chapter 11 Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends
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    Chapter 12 DDDAS Within the Oil and Gas Industry
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    Chapter 13 A Simulation-Based Online Dynamic Data-Driven Framework for Large-Scale Wind-Turbine Farm Systems Operation
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    Chapter 14 Toward Dynamic Data-Driven Systems for Rapid Adaptive Interdisciplinary Ocean Forecasting
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    Chapter 15 Toward Cyber-Eco Systems: Networked Sensing, Inference, and Control for Ecological and Agricultural Systems
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    Chapter 16 An Energy-Aware Airborne Dynamic Data-Driven Application System for Persistent Sampling and Surveillance
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    Chapter 17 Using Dynamic Data-Driven Cyberinfrastructure for Next-Generation Wildland Fire Intelligence
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    Chapter 18 Autonomous Monitoring of Wildfires with Vision-Equipped UAS and Temperature Sensors via Evidential Reasoning
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    Chapter 19 Airborne Fire Detection and Modeling Using Unmanned Aerial Vehicles Imagery: Datasets and Approaches
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    Chapter 20 DDDAS-Based Remote Sensing
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    Chapter 21 Advances in Domain Adaptation for Aerial Imagery
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    Chapter 22 Retrospective Cost Parameter Estimation with Application to Space Weather Modeling
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    Chapter 23 A Dynamic Data-Driven Approach for Space Situational Awareness
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    Chapter 24 Data-Driven Cancer Research with Digital Microscopy and Pathomics
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    Chapter 25 Robust Data-Driven Region of Interest Segmentation for Breast Thermography
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    Chapter 26 Adaptive Data Stream Mining (DSM) Systems
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    Chapter 27 Deception Detection in Videos Using Robust Facial Features with Attention Feedback
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    Chapter 28 Manufacturing the Future via Dynamic Data Driven Applications Systems (DDDAS)
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    Chapter 29 DDDAS in the Social Sciences
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    Chapter 30 Anomaly-Detection Defense Against Test-Time Evasion Attacks on Robust DNNs
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    Chapter 31 Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
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    Chapter 32 Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows
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    Chapter 33 INDICES: Applying DDDAS Principles for Performance Interference-aware Cloud-to-Fog Application Migration
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    Chapter 34 Adaptive Routing for Hybrid Photonic–Plasmonic (HyPPI) Interconnection Network for Manycore Processors Using DDDAS on the Chip