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You searched for subject:(Particle Filtering). Showing records 1 – 30 of 137 total matches.

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University of Georgia

1. Mesbah , Anousha. Individual localization using landmarks in the presence of interacting robots.

Degree: 2014, University of Georgia

 In order to path plan and navigate smoothly toward a goal, a mobile robot must know where it is in the environment. Thus robust state… (more)

Subjects/Keywords: Localization; Particle Filtering; Nested Particle Filtering; Landmarks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mesbah , A. (2014). Individual localization using landmarks in the presence of interacting robots. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28053

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mesbah , Anousha. “Individual localization using landmarks in the presence of interacting robots.” 2014. Thesis, University of Georgia. Accessed March 06, 2021. http://hdl.handle.net/10724/28053.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mesbah , Anousha. “Individual localization using landmarks in the presence of interacting robots.” 2014. Web. 06 Mar 2021.

Vancouver:

Mesbah A. Individual localization using landmarks in the presence of interacting robots. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10724/28053.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mesbah A. Individual localization using landmarks in the presence of interacting robots. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28053

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Tampere University

2. Pirhonen, Mikko. Considerations for Spectral Tracking of Respiration in Photoplethysmography .

Degree: 2020, Tampere University

 Respiratory regulation constitutes integral measurands towards the assessment of primary decline in patient health. As a vital parameter, the respiratory rate (RR) facilitates the classification… (more)

Subjects/Keywords: Photoplethysmography ; Respiration ; Synchrosqueezing ; Particle filtering

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APA (6th Edition):

Pirhonen, M. (2020). Considerations for Spectral Tracking of Respiration in Photoplethysmography . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/118982

Chicago Manual of Style (16th Edition):

Pirhonen, Mikko. “Considerations for Spectral Tracking of Respiration in Photoplethysmography .” 2020. Masters Thesis, Tampere University. Accessed March 06, 2021. https://trepo.tuni.fi/handle/10024/118982.

MLA Handbook (7th Edition):

Pirhonen, Mikko. “Considerations for Spectral Tracking of Respiration in Photoplethysmography .” 2020. Web. 06 Mar 2021.

Vancouver:

Pirhonen M. Considerations for Spectral Tracking of Respiration in Photoplethysmography . [Internet] [Masters thesis]. Tampere University; 2020. [cited 2021 Mar 06]. Available from: https://trepo.tuni.fi/handle/10024/118982.

Council of Science Editors:

Pirhonen M. Considerations for Spectral Tracking of Respiration in Photoplethysmography . [Masters Thesis]. Tampere University; 2020. Available from: https://trepo.tuni.fi/handle/10024/118982


Penn State University

3. Kadetotad, Sneha. TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.

Degree: 2011, Penn State University

 The localization of vehicles on roadways without the use of a GPS has been of great interest in recent years and a number of solutions… (more)

Subjects/Keywords: features; particle filtering; localization; vehicles; tracking

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APA (6th Edition):

Kadetotad, S. (2011). TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11892

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kadetotad, Sneha. “TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.” 2011. Thesis, Penn State University. Accessed March 06, 2021. https://submit-etda.libraries.psu.edu/catalog/11892.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kadetotad, Sneha. “TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.” 2011. Web. 06 Mar 2021.

Vancouver:

Kadetotad S. TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Mar 06]. Available from: https://submit-etda.libraries.psu.edu/catalog/11892.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kadetotad S. TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11892

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Hofman Radek. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .

Degree: 2011, Czech University of Technology

APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT; APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT Advisors/Committee Members: Pecha Petr (advisor).

Subjects/Keywords: data assimilation; particle filtering; dispersion modelling

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APA (6th Edition):

Radek, H. (2011). APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/8017

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Thesis, Czech University of Technology. Accessed March 06, 2021. http://hdl.handle.net/10467/8017.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Web. 06 Mar 2021.

Vancouver:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Internet] [Thesis]. Czech University of Technology; 2011. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10467/8017.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Thesis]. Czech University of Technology; 2011. Available from: http://hdl.handle.net/10467/8017

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cal Poly

5. Norris, Michael K. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.

Degree: MS, Computer Science, 2016, Cal Poly

  This work presents improvements to Monte Carlo Localization (MCL) for a mobile robot using computer vision. Solutions to the localization problem aim to provide… (more)

Subjects/Keywords: localization; computer vision; particle filtering; Computational Engineering

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APA (6th Edition):

Norris, M. K. (2016). INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96

Chicago Manual of Style (16th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Masters Thesis, Cal Poly. Accessed March 06, 2021. https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

MLA Handbook (7th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Web. 06 Mar 2021.

Vancouver:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2021 Mar 06]. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

Council of Science Editors:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96


University of Tennessee – Knoxville

6. Li, Zhiqiang. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.

Degree: 2012, University of Tennessee – Knoxville

 Various particle filters have been proposed and their convergence to the optimal filter are obtained for finite time intervals. However, uniform convergence results have been… (more)

Subjects/Keywords: nonlinear filtering; branching particle aproximation; Probability

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APA (6th Edition):

Li, Z. (2012). Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1322

Chicago Manual of Style (16th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 06, 2021. https://trace.tennessee.edu/utk_graddiss/1322.

MLA Handbook (7th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Web. 06 Mar 2021.

Vancouver:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2021 Mar 06]. Available from: https://trace.tennessee.edu/utk_graddiss/1322.

Council of Science Editors:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_graddiss/1322


Texas A&M University

7. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Masters Thesis, Texas A&M University. Accessed March 06, 2021. http://hdl.handle.net/1969.1/157796.

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 06 Mar 2021.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1969.1/157796.

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796


Syracuse University

8. ZHENG, YUJIAO. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate… (more)

Subjects/Keywords: Bayesian estimation; Kalman filtering; Particle filtering; Sensor networks; Target tracking; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

ZHENG, Y. (2014). Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/71

Chicago Manual of Style (16th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed March 06, 2021. https://surface.syr.edu/etd/71.

MLA Handbook (7th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 06 Mar 2021.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2021 Mar 06]. Available from: https://surface.syr.edu/etd/71.

Council of Science Editors:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/71


New Jersey Institute of Technology

9. Aunsri, Nattapol. Particle filtering for frequency estimation from acoustic time-series in dispersive media.

Degree: PhD, Mathematical Sciences, 2014, New Jersey Institute of Technology

  Acoustic signals propagating in the ocean carry information about geometry and environmental parameters within the propagation medium. Accurately retrieving this information leads us to… (more)

Subjects/Keywords: Frequency estimation; Particle filtering; Bayesian filtering; Sequential Monte Carlo; Underwater acoustics; Signal processing; Mathematics

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APA (6th Edition):

Aunsri, N. (2014). Particle filtering for frequency estimation from acoustic time-series in dispersive media. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/139

Chicago Manual of Style (16th Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2014. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 06, 2021. https://digitalcommons.njit.edu/dissertations/139.

MLA Handbook (7th Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2014. Web. 06 Mar 2021.

Vancouver:

Aunsri N. Particle filtering for frequency estimation from acoustic time-series in dispersive media. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2014. [cited 2021 Mar 06]. Available from: https://digitalcommons.njit.edu/dissertations/139.

Council of Science Editors:

Aunsri N. Particle filtering for frequency estimation from acoustic time-series in dispersive media. [Doctoral Dissertation]. New Jersey Institute of Technology; 2014. Available from: https://digitalcommons.njit.edu/dissertations/139


University of Illinois – Urbana-Champaign

10. Yang, Tao. Feedback particle filter and its applications.

Degree: PhD, 0133, 2014, University of Illinois – Urbana-Champaign

 The purpose of nonlinear filtering is to extract useful information from noisy sensor data. It finds applications in all disciplines of science and engineering, including… (more)

Subjects/Keywords: Nonlinear filtering; estimation; particle filtering; statistical signal processing; optimal transportation; target tracking

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APA (6th Edition):

Yang, T. (2014). Feedback particle filter and its applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50708

Chicago Manual of Style (16th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/50708.

MLA Handbook (7th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 06 Mar 2021.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/50708.

Council of Science Editors:

Yang T. Feedback particle filter and its applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50708


University of Maryland

11. Rabiei, Elaheh. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.

Degree: Reliability Engineering, 2016, University of Maryland

 Structural health monitoring (SHM), as an essential tool to ensure the health integrity of aging structures, mostly focus on monitoring conventional observable damage markers such… (more)

Subjects/Keywords: Engineering; Mechanical engineering; Damage precursor; Dynamic Bayesian Network; Particle filtering/ Fully adaptive particle filtering; Prognostics; Structural Health Monitoring; Support Vector Regression

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APA (6th Edition):

Rabiei, E. (2016). Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rabiei, Elaheh. “Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.” 2016. Thesis, University of Maryland. Accessed March 06, 2021. http://hdl.handle.net/1903/19324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rabiei, Elaheh. “Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.” 2016. Web. 06 Mar 2021.

Vancouver:

Rabiei E. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. [Internet] [Thesis]. University of Maryland; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1903/19324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rabiei E. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/19324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Särkkä, Simo. Recursive Bayesian Inference on Stochastic Differential Equations.

Degree: 2006, Helsinki University of Technology

This thesis is concerned with recursive Bayesian estimation of non-linear dynamical systems, which can be modeled as discretely observed stochastic differential equations. The recursive real-time… (more)

Subjects/Keywords: Bayesian inference; continuous-discrete filtering; unscented Kalman filter; particle filter

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APA (6th Edition):

Särkkä, S. (2006). Recursive Bayesian Inference on Stochastic Differential Equations. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2006/isbn9512281279/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed March 06, 2021. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 06 Mar 2021.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2021 Mar 06]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Thesis]. Helsinki University of Technology; 2006. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Newcastle

13. Newman, Amanda K. A particle filter for efficient recursive BATEA analysis of hydrological models.

Degree: PhD, 2017, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The Bayesian Total Error Analysis (BATEA) framework permits model calibration and prediction to be informed by estimates of… (more)

Subjects/Keywords: recursive estimation; particle filtering; BATEA; hydrologic model calibration

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APA (6th Edition):

Newman, A. K. (2017). A particle filter for efficient recursive BATEA analysis of hydrological models. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1333789

Chicago Manual of Style (16th Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Doctoral Dissertation, University of Newcastle. Accessed March 06, 2021. http://hdl.handle.net/1959.13/1333789.

MLA Handbook (7th Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Web. 06 Mar 2021.

Vancouver:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1959.13/1333789.

Council of Science Editors:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1333789


Vanderbilt University

14. Bartram, Gregory Walsh. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 This dissertation develops a methodology that provides information to make optimal decisions with respect to the mission and maintenance of a system. A great amount… (more)

Subjects/Keywords: dynamic bayesian network; diagnosis; prognosis; decision making; particle filtering

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APA (6th Edition):

Bartram, G. W. (2013). System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13757

Chicago Manual of Style (16th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed March 06, 2021. http://hdl.handle.net/1803/13757.

MLA Handbook (7th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Web. 06 Mar 2021.

Vancouver:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1803/13757.

Council of Science Editors:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/13757


University of Otago

15. Javed, Adeel. Train Localisation using Wireless Sensor Networks .

Degree: University of Otago

 Safety and reliability have always been concerns for railway transportation. Knowing the exact location of a train enables the railway system to react to an… (more)

Subjects/Keywords: Localisation; WSN; Trains; Particle Filtering

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APA (6th Edition):

Javed, A. (n.d.). Train Localisation using Wireless Sensor Networks . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/6910

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Doctoral Dissertation, University of Otago. Accessed March 06, 2021. http://hdl.handle.net/10523/6910.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Web. 06 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Javed A. Train Localisation using Wireless Sensor Networks . [Internet] [Doctoral dissertation]. University of Otago; [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10523/6910.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Javed A. Train Localisation using Wireless Sensor Networks . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/6910

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of Ottawa

16. Wang, Jing. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .

Degree: 2017, University of Ottawa

 Indoor localization with proximity information in ultra-high-frequency (UHF) radio-frequency-identification (RFID) is widely considered as a potential candidate of locating items in Internet-of-Things (IoT) paradigm. First,… (more)

Subjects/Keywords: Internet-of-Things; UHF RFID; Indoor localization; Phase cancellation; Particle filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, J. (2017). Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36051

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Thesis, University of Ottawa. Accessed March 06, 2021. http://hdl.handle.net/10393/36051.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Web. 06 Mar 2021.

Vancouver:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10393/36051.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36051

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

17. Michaud, Nicholas Lorenz. Bayesian models and inferential methods for forecasting disease outbreak severity.

Degree: 2016, Iowa State University

 Timely monitoring and prediction of the trajectory of seasonal influenza epidemics allows hospitals and medical centers to prepare for, and provide better service to, patients… (more)

Subjects/Keywords: Bayesian; Disease outbreaks; Inference; MCMC; Particle Filtering; Statistics and Probability

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APA (6th Edition):

Michaud, N. L. (2016). Bayesian models and inferential methods for forecasting disease outbreak severity. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Thesis, Iowa State University. Accessed March 06, 2021. https://lib.dr.iastate.edu/etd/15773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Web. 06 Mar 2021.

Vancouver:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Internet] [Thesis]. Iowa State University; 2016. [cited 2021 Mar 06]. Available from: https://lib.dr.iastate.edu/etd/15773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Princeton University

18. Girardi, Matthew. Liquid Transport and Agglomeration Tendency in Fluidized Beds .

Degree: PhD, 2015, Princeton University

 Wet gas-solid fluidization is an essential component in a wide range of industrial processes, particularly those in the energy and pharmaceutical industries. In gas-solid fluidized… (more)

Subjects/Keywords: Euler Lagrange; Filtering; Fluidized bed; Liquid transport; Multiphase flow; Particle wetting

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APA (6th Edition):

Girardi, M. (2015). Liquid Transport and Agglomeration Tendency in Fluidized Beds . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp013b591b95d

Chicago Manual of Style (16th Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Doctoral Dissertation, Princeton University. Accessed March 06, 2021. http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

MLA Handbook (7th Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Web. 06 Mar 2021.

Vancouver:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2021 Mar 06]. Available from: http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

Council of Science Editors:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp013b591b95d


University of Illinois – Urbana-Champaign

19. Medarametla, Krishna Kalyan. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.

Degree: MS, 0133, 2014, University of Illinois – Urbana-Champaign

 In a recent work it has been shown that importance sampling can be avoided in particle filter through an innovation structure inspired by traditional nonlinear… (more)

Subjects/Keywords: Extended Kalman filter; Feedback particle filter; Comparison; Nonlinear filtering

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APA (6th Edition):

Medarametla, K. K. (2014). Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/50584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 06 Mar 2021.

Vancouver:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/50584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

20. KARUNARATNE, BENTARAGE SACHINTHA. Statistical signal processing for target tracking with multipath radar.

Degree: 2014, University of Melbourne

 Until recently the applications of radar technology have been limited to environments with large open space. One of the reasons for such confinement is the… (more)

Subjects/Keywords: radar; multipath; target tracking; Bayesian; Monte Carlo; particle filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

KARUNARATNE, B. S. (2014). Statistical signal processing for target tracking with multipath radar. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55278

Chicago Manual of Style (16th Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Doctoral Dissertation, University of Melbourne. Accessed March 06, 2021. http://hdl.handle.net/11343/55278.

MLA Handbook (7th Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Web. 06 Mar 2021.

Vancouver:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11343/55278.

Council of Science Editors:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/55278


University of Southern California

21. Singh, Vivek Kumar. Monocular human pose tracking and action recognition in dynamic environments.

Degree: PhD, Computer Science, 2011, University of Southern California

 The objective of this work is to develop an efficient method to find human in videos captured from a single camera, and recognize the action… (more)

Subjects/Keywords: pictorial structures; branch and bound; conditional random fields; particle filtering

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APA (6th Edition):

Singh, V. K. (2011). Monocular human pose tracking and action recognition in dynamic environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216

Chicago Manual of Style (16th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Doctoral Dissertation, University of Southern California. Accessed March 06, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

MLA Handbook (7th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Web. 06 Mar 2021.

Vancouver:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Mar 06]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

Council of Science Editors:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216


University of Canterbury

22. Krenek, Oliver Francis Daley. Particle Filtering for Location Estimation.

Degree: M. Eng., Electrical Engineering, 2011, University of Canterbury

 Vehicle location and tracking has a variety of commercial applications and none of the techniques currently used can provide accurate results in all situations. This… (more)

Subjects/Keywords: Particle filtering; vehicle location; vehicle tracking; location estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krenek, O. F. D. (2011). Particle Filtering for Location Estimation. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/1203

Chicago Manual of Style (16th Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Masters Thesis, University of Canterbury. Accessed March 06, 2021. http://dx.doi.org/10.26021/1203.

MLA Handbook (7th Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Web. 06 Mar 2021.

Vancouver:

Krenek OFD. Particle Filtering for Location Estimation. [Internet] [Masters thesis]. University of Canterbury; 2011. [cited 2021 Mar 06]. Available from: http://dx.doi.org/10.26021/1203.

Council of Science Editors:

Krenek OFD. Particle Filtering for Location Estimation. [Masters Thesis]. University of Canterbury; 2011. Available from: http://dx.doi.org/10.26021/1203

23. El Mokhtari, Karim. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.

Degree: Docteur es, Génie informatique, Automatique et Traitement du signal, 2015, Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques

La navigation dans les environnements contraints tels que les zones portuaires ou les zones urbainesdenses est souvent exposée au problème du masquage des satellites GPS.… (more)

Subjects/Keywords: Map matching; EStimation circulaire; Filtrage particulaire; Filtrage multi-modèles; Map matching; Circular estimation; Particle filtering; Multiple model filtering

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APA (6th Edition):

El Mokhtari, K. (2015). Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. (Doctoral Dissertation). Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques. Retrieved from http://www.theses.fr/2015DUNK0367

Chicago Manual of Style (16th Edition):

El Mokhtari, Karim. “Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.” 2015. Doctoral Dissertation, Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques. Accessed March 06, 2021. http://www.theses.fr/2015DUNK0367.

MLA Handbook (7th Edition):

El Mokhtari, Karim. “Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.” 2015. Web. 06 Mar 2021.

Vancouver:

El Mokhtari K. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. [Internet] [Doctoral dissertation]. Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques; 2015. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2015DUNK0367.

Council of Science Editors:

El Mokhtari K. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. [Doctoral Dissertation]. Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques; 2015. Available from: http://www.theses.fr/2015DUNK0367

24. Ghiotto, Shane. Comparison of nonlinear filtering techniques.

Degree: MS, 0133, 2014, University of Illinois – Urbana-Champaign

 In a recent work it is shown that importance sampling can be avoided in the particle filter through an innovation structure inspired by traditional nonlinear… (more)

Subjects/Keywords: Filtering; state estimation; particle filtering; Kalman filter; feedback particle filter

…other case evaluated is a comparison of the resampling based particle filtering techniques… …many important advances in importance sampling based approaches for particle filtering; cf… …CHAPTER 1 INTRODUCTION Filtering and state estimation from noisy measurements is a… …vision and even economics, the applications of filtering are diverse and widespread. The… …primary objective in filtering is to provide an estimate of the hidden state of a dynamical… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghiotto, S. (2014). Comparison of nonlinear filtering techniques. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/49437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Web. 06 Mar 2021.

Vancouver:

Ghiotto S. Comparison of nonlinear filtering techniques. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/49437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghiotto S. Comparison of nonlinear filtering techniques. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

25. Yoon, Jae Myung. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 In this thesis, we present a comparative study of conventional particle filtering (PF) algorithms for tracking applications. Through the review from the generic PF to… (more)

Subjects/Keywords: Approximation; Covariance; Graphics; Kalman filters; Noise measurement; Particle density; Quantum statistics; Standard deviation; State estimation; Trajectories; filter  – filtering  – mcmc  – particle  – tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yoon, J. M. (2012). A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044219

Chicago Manual of Style (16th Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Masters Thesis, University of Florida. Accessed March 06, 2021. https://ufdc.ufl.edu/UFE0044219.

MLA Handbook (7th Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Web. 06 Mar 2021.

Vancouver:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2021 Mar 06]. Available from: https://ufdc.ufl.edu/UFE0044219.

Council of Science Editors:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044219


University of New Orleans

26. Wu, Jiande. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.

Degree: PhD, Electrical Engineering, 2014, University of New Orleans

Particle filtering has been a very popular method to solve nonlinear/non-Gaussian state estimation problems for more than twenty years. Particle filters (PFs) have found… (more)

Subjects/Keywords: nonlinear filtering, particle filter, particle flow filter, parallel and distributed computing, GPU, computer cluster, FPGA, target tracking; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, J. (2014). Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1953

Chicago Manual of Style (16th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Doctoral Dissertation, University of New Orleans. Accessed March 06, 2021. https://scholarworks.uno.edu/td/1953.

MLA Handbook (7th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Web. 06 Mar 2021.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2021 Mar 06]. Available from: https://scholarworks.uno.edu/td/1953.

Council of Science Editors:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Doctoral Dissertation]. University of New Orleans; 2014. Available from: https://scholarworks.uno.edu/td/1953


New Jersey Institute of Technology

27. Jain, Rashi. Sequential bayesian filtering for spatial arrival time estimation.

Degree: PhD, Mathematical Sciences, 2011, New Jersey Institute of Technology

  Locating and tracking a source in an ocean environment as well as estimating environmental parameters of a sound propagation medium is of utmost importance… (more)

Subjects/Keywords: Particle filtering; Uncertainty; Regularized inversion; Arrival time estimation; Monte Carlo Markov chain; Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jain, R. (2011). Sequential bayesian filtering for spatial arrival time estimation. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/281

Chicago Manual of Style (16th Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 06, 2021. https://digitalcommons.njit.edu/dissertations/281.

MLA Handbook (7th Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Web. 06 Mar 2021.

Vancouver:

Jain R. Sequential bayesian filtering for spatial arrival time estimation. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2011. [cited 2021 Mar 06]. Available from: https://digitalcommons.njit.edu/dissertations/281.

Council of Science Editors:

Jain R. Sequential bayesian filtering for spatial arrival time estimation. [Doctoral Dissertation]. New Jersey Institute of Technology; 2011. Available from: https://digitalcommons.njit.edu/dissertations/281


University of Colorado

28. Jennings, Dale Kurtis. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

 Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a desired probability distribution. While there exist many algorithms that attempt… (more)

Subjects/Keywords: Applied Probability; Bayesian Networks; Birth and Death Process; Kac Model; MCMC; Particle Filtering; Applied Mathematics

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APA (6th Edition):

Jennings, D. K. (2016). Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/81

Chicago Manual of Style (16th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 06, 2021. https://scholar.colorado.edu/appm_gradetds/81.

MLA Handbook (7th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Web. 06 Mar 2021.

Vancouver:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 06]. Available from: https://scholar.colorado.edu/appm_gradetds/81.

Council of Science Editors:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/81


Brno University of Technology

29. Benko, Matej. Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.

Degree: 2019, Brno University of Technology

 The topic of this bachelor thesis is Optimal Bayesian estimate usage in target tracking with bistatic measurement. The thesis is focused on particle filtering. It… (more)

Subjects/Keywords: bistatický radar; Bayesov odhad skrytého stavu; časticová filtrácia; bistatic radar; Optimal Bayesian estimate; particle filtering

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APA (6th Edition):

Benko, M. (2019). Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/179356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.” 2019. Thesis, Brno University of Technology. Accessed March 06, 2021. http://hdl.handle.net/11012/179356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.” 2019. Web. 06 Mar 2021.

Vancouver:

Benko M. Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11012/179356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benko M. Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/179356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Princeton University

30. Radulescu, Angela. Computational Mechanisms of Selective Attention during Reinforcement Learning .

Degree: PhD, 2020, Princeton University

 The multidimensional nature of our environment raises a fundamental question in the study of learning and decision-making: how do we know which dimensions are relevant… (more)

Subjects/Keywords: computational modeling; human behavior; particle filtering; reinforcement learning; reward prediction; selective attention

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APA (6th Edition):

Radulescu, A. (2020). Computational Mechanisms of Selective Attention during Reinforcement Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01s4655k528

Chicago Manual of Style (16th Edition):

Radulescu, Angela. “Computational Mechanisms of Selective Attention during Reinforcement Learning .” 2020. Doctoral Dissertation, Princeton University. Accessed March 06, 2021. http://arks.princeton.edu/ark:/88435/dsp01s4655k528.

MLA Handbook (7th Edition):

Radulescu, Angela. “Computational Mechanisms of Selective Attention during Reinforcement Learning .” 2020. Web. 06 Mar 2021.

Vancouver:

Radulescu A. Computational Mechanisms of Selective Attention during Reinforcement Learning . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Mar 06]. Available from: http://arks.princeton.edu/ark:/88435/dsp01s4655k528.

Council of Science Editors:

Radulescu A. Computational Mechanisms of Selective Attention during Reinforcement Learning . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01s4655k528

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