Handbook of Dynamic Data Driven Applications Systems
portes grátis
Handbook of Dynamic Data Driven Applications Systems
Volume 3
Darema, Frederica; Blasch, Erik; Aved, Alex
Springer International Publishing AG
03/2026
881
Dura
Inglês
9783031885730
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1 The Dynamic Data Driven Applications Systems (DDDAS) Paradigm Informs Artificial Intelligence towards Digital Science and Engineering.- Chapter 2 Towards Formal Correctness Envelopes for Dynamic Data-Driven Aerospace Systems.- Chapter 3 Dynamic Data Assimilation for Atmospheric Composition: Advances and Perspectives.- Chapter 4 A Model Data Fusion for Statistical Characterization of Constitutive Parameters: Applications to Site Characterization and Seismic Performance Evaluation.- Chapter 5 A Graphical Approach to Modeling Dynamic Data Driven Applications Systems (DDDAS) for Dynamic Node Classification and Link Prediction.- Chapter 6 Uncertainty Analysis of Composite Laminates using Cohesive Layer with Polynomial Chaos and Machine Learning.- Chapter 7 Dynamic Data Driven Applications Systems Analysis of Microtexture Regions in Titanium Alloys.- Chapter 8 Decoupled Data based Control (D2C 2.0).- Chapter 9 A Computational Steering Framework for Large-Scale Composite Structures. Part II: Optimization and Control.- Chapter 10 A novel DDDAS architecture combining advanced sensing and simulation technologies for effective real-time structural health monitoring.- Chapter 11 Systems that Sense and Respond: Modeling, Analysis, and Control of Buildings.- Chapter 12 Deep Learning and Dynamic Mode Decomposition for Characterizing Combustion Instability.- Chapter 13 Reduced-order Modeling of a Nuclear Power Plant for Real-time Monitoring and Control.- Chapter 14 Dynamic Data-driven Estimation of Power System Linear Sensitivity Distribution Factors.- Chapter 15 Intelligent Energy Systems within the DDDAS Framework.- Chapter 16 Self-healing of Distributed Microgrids using DDDAMS.- Chapter 17 Computational and MR-guided Patient-Specific Laser Induced Thermal Therapy of Cancer.- Chapter 18 Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery.- Chapter 19 Human-Allied Learning of Probabilistic Models from Relational Data.- Chapter 20 Info-Symbiotic Systems for Emergencies Governance: Pandemics and Human Security.- Chapter 21 Adversarial Inference: From Inverse Filtering to Inverse Cognitive Radar.- Chapter 22 Distributed Dynamic Data Driven Multi-Threat Tracking.- Chapter 23 A Dynamic Data Driven Approach for Explainable Scene Understanding.- Chapter 24 Advances on Dynamic and Robust Tensor Data Analysis: The Dynamic L1-Tucker Method.- Chapter 25 Implementing a Trajectory Optimization Layer for Persistent Sampling Missions with Soaring.- Chapter 26 Data-driven Routing of Autonomous Vehicles for Distributed Estimation of Spatiotemporal Fields.- Chapter 27 Lane-Based Large-Scale UAS Traffic Management: Contingency Handling.- Chapter 28 Initial Orbit Determination of Resident Space Objects with Ck-networks.- Chapter 29 DDDAS @ 5G and Beyond 5G Networks for Resilient Communications.- Chapter 30 Infrastructures and Microgrid Clusters Dynamic Data-Driven Application Systems for Trust Dynamics.- Chapter 31 Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks to Industrial Control Systems.- Chapter 32 Dynamic Data-Driven Digital Twins for Blockchain Dynamics.- Chapter 33 DDDAS and Security in Distributed Digital Nuclear Systems.- Chapter 34 Dynamic Data Driven Applications Systems (DDDAS) for Cyber Risk Management in Microgrids.- Chapter 35 Dynamic Data Driven Applications Systems (DDDAS) Perspectives and Outlook.
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DDDAS;Controls;Instrumentation;Big Data;High performance computing;data fusion;Digital Twins;machine learning;data assimilation;Statistical modeling
Chapter 1 The Dynamic Data Driven Applications Systems (DDDAS) Paradigm Informs Artificial Intelligence towards Digital Science and Engineering.- Chapter 2 Towards Formal Correctness Envelopes for Dynamic Data-Driven Aerospace Systems.- Chapter 3 Dynamic Data Assimilation for Atmospheric Composition: Advances and Perspectives.- Chapter 4 A Model Data Fusion for Statistical Characterization of Constitutive Parameters: Applications to Site Characterization and Seismic Performance Evaluation.- Chapter 5 A Graphical Approach to Modeling Dynamic Data Driven Applications Systems (DDDAS) for Dynamic Node Classification and Link Prediction.- Chapter 6 Uncertainty Analysis of Composite Laminates using Cohesive Layer with Polynomial Chaos and Machine Learning.- Chapter 7 Dynamic Data Driven Applications Systems Analysis of Microtexture Regions in Titanium Alloys.- Chapter 8 Decoupled Data based Control (D2C 2.0).- Chapter 9 A Computational Steering Framework for Large-Scale Composite Structures. Part II: Optimization and Control.- Chapter 10 A novel DDDAS architecture combining advanced sensing and simulation technologies for effective real-time structural health monitoring.- Chapter 11 Systems that Sense and Respond: Modeling, Analysis, and Control of Buildings.- Chapter 12 Deep Learning and Dynamic Mode Decomposition for Characterizing Combustion Instability.- Chapter 13 Reduced-order Modeling of a Nuclear Power Plant for Real-time Monitoring and Control.- Chapter 14 Dynamic Data-driven Estimation of Power System Linear Sensitivity Distribution Factors.- Chapter 15 Intelligent Energy Systems within the DDDAS Framework.- Chapter 16 Self-healing of Distributed Microgrids using DDDAMS.- Chapter 17 Computational and MR-guided Patient-Specific Laser Induced Thermal Therapy of Cancer.- Chapter 18 Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery.- Chapter 19 Human-Allied Learning of Probabilistic Models from Relational Data.- Chapter 20 Info-Symbiotic Systems for Emergencies Governance: Pandemics and Human Security.- Chapter 21 Adversarial Inference: From Inverse Filtering to Inverse Cognitive Radar.- Chapter 22 Distributed Dynamic Data Driven Multi-Threat Tracking.- Chapter 23 A Dynamic Data Driven Approach for Explainable Scene Understanding.- Chapter 24 Advances on Dynamic and Robust Tensor Data Analysis: The Dynamic L1-Tucker Method.- Chapter 25 Implementing a Trajectory Optimization Layer for Persistent Sampling Missions with Soaring.- Chapter 26 Data-driven Routing of Autonomous Vehicles for Distributed Estimation of Spatiotemporal Fields.- Chapter 27 Lane-Based Large-Scale UAS Traffic Management: Contingency Handling.- Chapter 28 Initial Orbit Determination of Resident Space Objects with Ck-networks.- Chapter 29 DDDAS @ 5G and Beyond 5G Networks for Resilient Communications.- Chapter 30 Infrastructures and Microgrid Clusters Dynamic Data-Driven Application Systems for Trust Dynamics.- Chapter 31 Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks to Industrial Control Systems.- Chapter 32 Dynamic Data-Driven Digital Twins for Blockchain Dynamics.- Chapter 33 DDDAS and Security in Distributed Digital Nuclear Systems.- Chapter 34 Dynamic Data Driven Applications Systems (DDDAS) for Cyber Risk Management in Microgrids.- Chapter 35 Dynamic Data Driven Applications Systems (DDDAS) Perspectives and Outlook.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
