Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319251370, 9783319251387

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A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_17 ◽

2015 ◽

pp. 182-194

Author(s):

Joon-Hong Seok ◽

Su-Jin Lee ◽

Han-Lim Choi

Keyword(s):

Gaussian Process ◽

Source Characterization ◽

Contaminant Source ◽

Story Building ◽

Mcmc Approach

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Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_14 ◽

2015 ◽

pp. 144-156

Author(s):

Mustafa A. Mohamad ◽

Themistoklis P. Sapsis

Keyword(s):

Analytical Approximation ◽

Heavy Tail ◽

Complex Modes ◽

Tail Structure ◽

Unstable Complex

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Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_25 ◽

2015 ◽

pp. 274-283 ◽

Cited By ~ 8

Author(s):

Humberto C. Godinez ◽

Earl Lawrence ◽

David Higdon ◽

Aaron Ridley ◽

Josef Koller ◽

...

Keyword(s):

Kalman Filter ◽

Ensemble Kalman Filter

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Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_29 ◽

2015 ◽

pp. 322-333 ◽

Cited By ~ 3

Author(s):

Juliane Euler ◽

Tobias Ritter ◽

Stefan Ulbrich ◽

Oskar von Stryk

Keyword(s):

Trajectory Planning ◽

Atmospheric Dispersion

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A Stochastic Optimization Method for Energy-Based Path Planning

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_31 ◽

2015 ◽

pp. 347-358 ◽

Cited By ~ 6

Author(s):

Deepak N. Subramani ◽

Tapovan Lolla ◽

Patrick J. Haley ◽

Pierre F. J. Lermusiaux

Keyword(s):

Path Planning ◽

Stochastic Optimization ◽

Optimization Method

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A Sampling Approach for Four Dimensional Data Assimilation

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_20 ◽

2015 ◽

pp. 215-226 ◽

Cited By ~ 4

Author(s):

Ahmed Attia ◽

Vishwas Rao ◽

Adrian Sandu

Keyword(s):

Data Assimilation ◽

Four Dimensional Data Assimilation ◽

Sampling Approach

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A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_24 ◽

2015 ◽

pp. 263-273

Author(s):

Laura Slivinski ◽

Elaine Spiller ◽

Amit Apte

Keyword(s):

Kalman Filter ◽

Data Assimilation ◽

Ensemble Kalman Filter ◽

High Dimensional ◽

Hybrid Particle ◽

Particle Ensemble ◽

Lagrangian Data

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Ensemble Learning in Non-Gaussian Data Assimilation

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_21 ◽

2015 ◽

pp. 227-238 ◽

Cited By ~ 1

Author(s):

Hansjörg Seybold ◽

Sai Ravela ◽

Piyush Tagade

Keyword(s):

Data Assimilation ◽

Ensemble Learning ◽

Non Gaussian ◽

Gaussian Data

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Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_26 ◽

2015 ◽

pp. 284-298 ◽

Cited By ~ 3

Author(s):

Tarkeshwar Singh ◽

Rashmi Mittal ◽

H. C. Upadhyaya

Keyword(s):

Kalman Filter ◽

Data Assimilation ◽

Atmospheric Model ◽

Global Atmospheric Model ◽

Ensemble Adjustment Kalman Filter

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Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25138-7_15 ◽

2015 ◽

pp. 157-166 ◽

Cited By ~ 5

Author(s):

Charanraj Thimmisetty ◽

Arman Khodabakhshnejad ◽

Nima Jabbari ◽

Fred Aminzadeh ◽

Roger Ghanem ◽

...

Keyword(s):

Gaussian Processes ◽

High Dimensional Data ◽

High Dimensional ◽

Stochastic Representation

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Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building

Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes

Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter

Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes

A Stochastic Optimization Method for Energy-Based Path Planning

A Sampling Approach for Four Dimensional Data Assimilation

A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation

Ensemble Learning in Non-Gaussian Data Assimilation

Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model

Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics

Dynamic Data-Driven Environmental Systems Science - Lecture Notes in Computer Science
Latest Publications