Handbook of Dynamic Data Driven Applications Systems Volume 2
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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