Handbook of Dynamic Data Driven Applications Systems

Handbook of Dynamic Data Driven Applications Systems

Volume 2

Blasch, Erik P.; Darema, Frederica; Aved, Alex J.; Ravela, Sai

Springer International Publishing AG

09/2024

956

Mole

9783031279881

15 a 20 dias

Descrição não disponível.
The Dynamic Data Driven Applications Systems (DDDAS) Paradigm and Emerging Directions.- Dynamic Data Driven Applications Systems and Information-Inference Couplings.- Polynomial Chaos Expansion Based Nonlinear Filtering for Dynamic State Estimation.- Measure-Invariant Symbolic Systems for Pattern Recognition and Anomaly Detection.- Equation-Free Computations as DDDAS Protocols for Bifurcation Studies: A Granular Chain Example.- A Stochastic Dynamic Data-Driven Framework for Real-time Prediction of Materials Damage in Composites.- Dynamic Data-Driven Monitoring of Nanoparticle Self Assembly Processes.- From Data to Decisions: A Real-Time Measurement -Inversion-Prediction-Steering Framework for Hazardous Events and Structural Health Monitoring.- Bayesian Computational Sensor Networks: Small-Scale Structural Health Monitoring.- A Dynamic Data Driven Sensor Tasking with Application of Aerospace Systems.- Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends.- DDDAS within the Oil and Gas Industry.- A Simulation-Based Online Dynamic Data-Driven Framework for Large-Scale Wind-turbine Farm Systems Operation.- Towards Dynamic Data Driven Systems for Rapid Adaptive Interdisciplinary Ocean Forecasting.- Towards Cyber-Eco Systems: Networked Sensing, Inference and Control for Ecological and Agricultural Systems.- An Energy-Aware Airborne Dynamic Data-Driven Application System for Persistent Sampling and Surveillance.- Using Dynamic Data Driven Cyberinfrastructure for Next Generation Wildland Fire Intelligence.- Autonomous Monitoring of Wildfires with Vision-Equipped UAS and Temperature Sensors via Evidential Reasoning.- Airborne Fire Detection and Modeling using Unmanned Aerial Vehicles Imagery: Datasets and Approaches.- DDDAS-based Remote Sensing.- Advances in Domain Adaptation for Aerial Imagery.- Retrospective Cost Parameter Estimation with Application to Space Weather Modeling.- A Dynamic Data Driven Approach to Space Situational Awareness.- Data driven cancer research with digital microscopy and Pathomics.- Robust Data Driven Region of Interest Segmentation for Breast Thermography.- Adaptive Data Stream Mining (DSM) Systems.- Deception Detection in Videos using Robust Facial Features with Attention Feedback.- Manufacturing the Future via Dynamic Data Driven Applications Systems (DDDAS).- DDDAS in the Social Sciences.- Anomaly-Detection Defense against Test-Time Evasion Attacks on Robust DNNs.- Dynamic Data-Driven Approach for Cyber Resilient and Secure Critical Energy Systems.- Dynamic Network-centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows.- INDICES: Applying DDDAS Principles for Performance Interference-aware Cloud-to-Fog Application Migration.- Adaptive Routing for Hybrid Photonic-Plasmonic (HyPPI) Interconnection Network for Manycore Processors using DDDAS on the Chip.
DDDAS;Controls;Instrumentation;Big Data;Dynamic Systems;High performance computing;InfoSymbiotics;Cyber physical systems;UAVs;data fusion;feature fusion;decision fusion;information fusion;Modeling and Analysis;Environmental Analysis;Environmental Modeling;Statistical modeling;data assimilation;Autonomy;Vehicular Systems