標(biāo)題: Titlebook: Handbook of Dynamic Data Driven Applications Systems; Volume 1 Erik P. Blasch,Frederica Darema,Alex J. Aved Book 2022Latest edition This is [打印本頁] 作者: obsess 時間: 2025-3-21 17:58
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書目名稱Handbook of Dynamic Data Driven Applications Systems被引頻次
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書目名稱Handbook of Dynamic Data Driven Applications Systems讀者反饋
書目名稱Handbook of Dynamic Data Driven Applications Systems讀者反饋學(xué)科排名
作者: 別炫耀 時間: 2025-3-21 22:30
https://doi.org/10.1007/978-3-663-07484-7ike and respiratory illness (from 2008 to 2010) from the Indiana Public Health Emergency Surveillance System. The DPPF develops a dynamic data-driven applications system (DDDAS) methodology for disease outbreak detection. Numerical results show that our model significantly improves the outbreak detection performance in real data analysis.作者: 粗語 時間: 2025-3-22 03:14
Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Processike and respiratory illness (from 2008 to 2010) from the Indiana Public Health Emergency Surveillance System. The DPPF develops a dynamic data-driven applications system (DDDAS) methodology for disease outbreak detection. Numerical results show that our model significantly improves the outbreak detection performance in real data analysis.作者: CUB 時間: 2025-3-22 08:25
https://doi.org/10.1007/978-3-322-88462-6the use of tractable variational information theoretic inference in estimation that also requires minimal resampling and allows for gradient-based inferences for non-Gaussian high-dimensional problems with few samples.作者: 外向者 時間: 2025-3-22 09:31 作者: Kidnap 時間: 2025-3-22 13:48 作者: 領(lǐng)先 時間: 2025-3-22 19:57 作者: Debate 時間: 2025-3-22 21:53
els, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions.? In so doing, all resources are used in an optimal manner to max978-3-030-74570-7978-3-030-74568-4作者: 小丑 時間: 2025-3-23 04:08 作者: critic 時間: 2025-3-23 07:59
Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems from the expected uncertainty minimization criterion, for dynamic sensor selection in filtering problems. It is compared with a strategy based on finite-time Lyapunov exponents of the dynamical system, which provide insight into error growth due to signal dynamics.作者: 先鋒派 時間: 2025-3-23 10:13 作者: 時代 時間: 2025-3-23 15:05
Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics to minimize least squares error for given training data. The Bayesian approach classifies operating modes according to supervised offline training and can discover new statistically significant modes online. As shown in Tuninter 1153 simulation result, dynamic Bayes classifier finds discrete error 作者: 夾克怕包裹 時間: 2025-3-23 19:52
Markov Modeling via Spectral Analysis: Application to Detecting Combustion Instabilitiesence for a first-order Markov model of the symbol sequence. Then, a graphical method is used to cluster the states of the corresponding high-order Markov model to infer a reduced-size Markov model with a non-deterministic algebraic structure. A Bayesian inference rule captures the parameters of the 作者: 詞匯 時間: 2025-3-23 23:53
A Computational Steering Framework for Large-Scale Composite Structures: Part I—Parametric-Based Desles, and civil structures, such as wind turbine blades and towers. The proposed DISCERN framework continuously and dynamically integrates the SHM data into the analysis of these structures. This capability allows one to: (1) Shelter the structures from excessive stress levels during operation; (2) M作者: COMMA 時間: 2025-3-24 05:27
Development of Intelligent and Predictive Self-Healing Composite Structures Using Dynamic Data-Driveg process. For this purpose, double-cantilever beam (DCB) tests were carried out to quantify the healing efficiency in terms of Mode-I interlaminar fracture toughness (..) following the ASTM D5528-13 testing protocol, and the healing efficiencies of seven different healing cycles were assessed to te作者: keloid 時間: 2025-3-24 09:07 作者: Meditate 時間: 2025-3-24 13:18 作者: 任命 時間: 2025-3-24 18:09
Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation this goal, we propose a novel high dimensional learning framework inspired by the dynamic data driven application systems paradigm to identify the biomarkers, determine the outlier(s) and improve the quality of the resultant disease detection. The proposed framework starts with a principal componen作者: Defiance 時間: 2025-3-24 23:04
Photometric Stereopsis for 3D Reconstruction of Space Objectse utility of the proposed algorithms.The proposed framework results in a estimates of the surface shape of the target object, which can subsequently used in forward models for prediction, data assimilation and subsequent sensor tasking operations. Sensitivity analysis is used to quantify the uncerta作者: 抵消 時間: 2025-3-25 02:12
Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observationse the belief on the trajectory of the target, and the searcher actively steers the measurement process to improve its knowledge about the location of the target. In particular, we make two main contributions. The first regards the target trajectory estimation. We show how to perform optimal Bayesian作者: 爆米花 時間: 2025-3-25 03:24 作者: 惰性氣體 時間: 2025-3-25 08:49 作者: 憂傷 時間: 2025-3-25 13:10 作者: Flinch 時間: 2025-3-25 15:50
Reimar Pohlman,Joachim Herbertz from the expected uncertainty minimization criterion, for dynamic sensor selection in filtering problems. It is compared with a strategy based on finite-time Lyapunov exponents of the dynamical system, which provide insight into error growth due to signal dynamics.作者: modest 時間: 2025-3-25 23:19
,Die Verzinnungsf?higkeit von Feinblechen,mine the likelihood of satellite collisions in space..The main focus of this chapter is the application of a new Polynomial Chaos based Uncertainty Quantification (UQ) approach for Space Situational Awareness (SSA). The challenge of applying UQ to SSA is the long-term integration problem, where simu作者: Abutment 時間: 2025-3-26 00:23 作者: 乏味 時間: 2025-3-26 04:52 作者: SUE 時間: 2025-3-26 09:41 作者: 漂白 時間: 2025-3-26 15:38 作者: Tracheotomy 時間: 2025-3-26 17:24
https://doi.org/10.1007/978-3-663-04414-7e aero-elastic simulator, preliminary stability envelopes are constructed to determine the flutter boundary of the aircraft with damage and without damage to the aircraft. By using available simulation results, an initial meta-model is trained offline. During the online phase, sensor data is to be a作者: 提名 時間: 2025-3-26 23:22 作者: 無可爭辯 時間: 2025-3-27 05:00 作者: Reclaim 時間: 2025-3-27 06:58
https://doi.org/10.1007/978-3-663-20264-6e utility of the proposed algorithms.The proposed framework results in a estimates of the surface shape of the target object, which can subsequently used in forward models for prediction, data assimilation and subsequent sensor tasking operations. Sensitivity analysis is used to quantify the uncerta作者: 形狀 時間: 2025-3-27 13:10
https://doi.org/10.1007/978-3-642-82733-4e the belief on the trajectory of the target, and the searcher actively steers the measurement process to improve its knowledge about the location of the target. In particular, we make two main contributions. The first regards the target trajectory estimation. We show how to perform optimal Bayesian作者: 核心 時間: 2025-3-27 15:48 作者: GREG 時間: 2025-3-27 18:31 作者: hemophilia 時間: 2025-3-28 00:05
https://doi.org/10.1007/978-3-030-74568-4DDDAS; Controls; Instrumentation; Big Data; High performance computing; Cyber physical systems; UAVs; data 作者: Myocarditis 時間: 2025-3-28 02:42
978-3-030-74570-7This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright pro作者: aesthetic 時間: 2025-3-28 08:39
Introduction to the Dynamic Data Driven Applications Systems (DDDAS) Paradigm,nal physical and other analysis models and methods, run-time measurements, and computational architectures. Some of the foremost early applications of DDDAS successes range from environmental assessment of adverse weather and natural disasters such as tornadic activity, hurricane formation and traje作者: Exuberance 時間: 2025-3-28 11:06 作者: flex336 時間: 2025-3-28 15:43 作者: POLYP 時間: 2025-3-28 19:52 作者: 收到 時間: 2025-3-29 00:56 作者: 多節(jié) 時間: 2025-3-29 04:01 作者: 冒煙 時間: 2025-3-29 09:24
Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Processucture. To resolve these issues, we propose a novel Dirichlet process particle filter (DPPF) model. The Dirichlet process models a set of stochastic functions as probability distributions for dimension reduction, and the particle filter is used to solve the nonlinear filtering problem with sequentia作者: indemnify 時間: 2025-3-29 11:34
A Computational Steering Framework for Large-Scale Composite Structures: Part I—Parametric-Based Desevelopments in these fields to formulate a Dynamic Data-Driven Applications Systems (DDDAS) Interactive Structure Composite Element Relation Network (DISCERN) framework. DISCERN consists of the following items and features: a structural health monitoring (SHM) system, an advanced structural modeling作者: cartilage 時間: 2025-3-29 18:20 作者: mercenary 時間: 2025-3-29 21:40
Dynamic Data-Driven Approach for Unmanned Aircraft Systems Aero-elastic Response Analysis the system. Our approach is illustrated in the context of the unmanned aerial vehicle, such as the SensorCraft. It will be shown as to how DDDAS can be used to enhance the performance envelope as well as avoid aero-elastic instabilities, while reducing the need for user input. The DDDAS methodology作者: Morphine 時間: 2025-3-30 00:12 作者: –FER 時間: 2025-3-30 07:49 作者: Excise 時間: 2025-3-30 11:03 作者: LIKEN 時間: 2025-3-30 14:46 作者: Anticoagulants 時間: 2025-3-30 20:04
https://doi.org/10.1007/978-3-663-07455-7nal physical and other analysis models and methods, run-time measurements, and computational architectures. Some of the foremost early applications of DDDAS successes range from environmental assessment of adverse weather and natural disasters such as tornadic activity, hurricane formation and traje作者: 喪失 時間: 2025-3-30 23:59 作者: CRUMB 時間: 2025-3-31 02:22
Reimar Pohlman,Joachim Herbertzysis and prediction of complex systems. It focuses on developing new algorithms and tools for the collection, assimilation and harnessing of data by threading together ideas from random dynamical systems to information theory. A general overview of the multi-scale signal and observation processes, t作者: 盡管 時間: 2025-3-31 05:32
