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You searched for +publisher:"Colorado State University" +contributor:("Pinaud, Olivier"). Showing records 1 – 9 of 9 total matches.

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Colorado State University

1. Heine, Matthew Alan. Constrained optimization model for partitioning students into cooperative learning groups, A.

Degree: MS(M.S.), Mathematics, 2016, Colorado State University

 The problem of the constrained partitioning of a set using quantitative relationships amongst the elements is considered. An approach based on constrained integer programming is… (more)

Subjects/Keywords: integer programming; cooperative learning; partitioning

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APA (6th Edition):

Heine, M. A. (2016). Constrained optimization model for partitioning students into cooperative learning groups, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173460

Chicago Manual of Style (16th Edition):

Heine, Matthew Alan. “Constrained optimization model for partitioning students into cooperative learning groups, A.” 2016. Masters Thesis, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/173460.

MLA Handbook (7th Edition):

Heine, Matthew Alan. “Constrained optimization model for partitioning students into cooperative learning groups, A.” 2016. Web. 23 Apr 2021.

Vancouver:

Heine MA. Constrained optimization model for partitioning students into cooperative learning groups, A. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/173460.

Council of Science Editors:

Heine MA. Constrained optimization model for partitioning students into cooperative learning groups, A. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173460


Colorado State University

2. Xiong, Qian. Methods for extremes of functional data.

Degree: PhD, Statistics, 2018, Colorado State University

 Motivated by the problem of extreme behavior of functional data, we develop statistical theory at the nexus of functional data analysis (FDA) and extreme value… (more)

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APA (6th Edition):

Xiong, Q. (2018). Methods for extremes of functional data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193167

Chicago Manual of Style (16th Edition):

Xiong, Qian. “Methods for extremes of functional data.” 2018. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/193167.

MLA Handbook (7th Edition):

Xiong, Qian. “Methods for extremes of functional data.” 2018. Web. 23 Apr 2021.

Vancouver:

Xiong Q. Methods for extremes of functional data. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/193167.

Council of Science Editors:

Xiong Q. Methods for extremes of functional data. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193167


Colorado State University

3. Obeidat, Yusra Mahmoud. Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.

Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University

 Integrated optical biosensors have many advantages such as low-cost, portability and the ability to detect multiple analytes on a single waveguide. They can be used… (more)

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APA (6th Edition):

Obeidat, Y. M. (2014). Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88585

Chicago Manual of Style (16th Edition):

Obeidat, Yusra Mahmoud. “Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.” 2014. Masters Thesis, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/88585.

MLA Handbook (7th Edition):

Obeidat, Yusra Mahmoud. “Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.” 2014. Web. 23 Apr 2021.

Vancouver:

Obeidat YM. Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/88585.

Council of Science Editors:

Obeidat YM. Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/88585


Colorado State University

4. Alsaker, Melody. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.

Degree: PhD, Mathematics, 2016, Colorado State University

 We study the problem of reconstructing 2-D conductivities from boundary voltage and current density measurements, also known as the electrical impedance tomography (EIT) problem, using… (more)

Subjects/Keywords: electrical impedance tomography; inverse problems; D-bar algorithm; medical imaging; inverse conductivity problem

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APA (6th Edition):

Alsaker, M. (2016). Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173372

Chicago Manual of Style (16th Edition):

Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/173372.

MLA Handbook (7th Edition):

Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Web. 23 Apr 2021.

Vancouver:

Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/173372.

Council of Science Editors:

Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173372


Colorado State University

5. Xu, Dongyang. GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.

Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University

 Strong equatorial ionospheric scintillation is characterized with simultaneous deep amplitude fading and fast phase fluctuations, which can severely degrade GNSS receiver performance and impact a… (more)

Subjects/Keywords: estimation; GPS signal simulation; atmospheric effects; ionospheric scintillation; GPS processing

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APA (6th Edition):

Xu, D. (2019). GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197453

Chicago Manual of Style (16th Edition):

Xu, Dongyang. “GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.” 2019. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/197453.

MLA Handbook (7th Edition):

Xu, Dongyang. “GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.” 2019. Web. 23 Apr 2021.

Vancouver:

Xu D. GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/197453.

Council of Science Editors:

Xu D. GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197453


Colorado State University

6. Wang, Jun. Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.

Degree: PhD, Electrical and Computer Engineering, 2018, Colorado State University

 Spaced-GNSS receiver measurements offer an inexpensive approach for remote-sensing the ionospheric irregularity drift velocity during ionospheric scintillations. Conventional approaches targeting equatorial amplitude scintillations are less… (more)

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APA (6th Edition):

Wang, J. (2018). Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191253

Chicago Manual of Style (16th Edition):

Wang, Jun. “Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.” 2018. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/191253.

MLA Handbook (7th Edition):

Wang, Jun. “Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.” 2018. Web. 23 Apr 2021.

Vancouver:

Wang J. Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/191253.

Council of Science Editors:

Wang J. Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191253

7. Dauphin, Stephen. General model-based decomposition framework for polarimetric SAR images.

Degree: PhD, Mathematics, 2017, Colorado State University

 Polarimetric synthetic aperture radars emit a signal and measure the magnitude, phase, and polarization of the return. Polarimetric decompositions are used to extract physically meaningful… (more)

Subjects/Keywords: polarimetric SAR; model-based decomposition

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APA (6th Edition):

Dauphin, S. (2017). General model-based decomposition framework for polarimetric SAR images. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181382

Chicago Manual of Style (16th Edition):

Dauphin, Stephen. “General model-based decomposition framework for polarimetric SAR images.” 2017. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/181382.

MLA Handbook (7th Edition):

Dauphin, Stephen. “General model-based decomposition framework for polarimetric SAR images.” 2017. Web. 23 Apr 2021.

Vancouver:

Dauphin S. General model-based decomposition framework for polarimetric SAR images. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/181382.

Council of Science Editors:

Dauphin S. General model-based decomposition framework for polarimetric SAR images. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181382

8. Capps, Michael. Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.

Degree: PhD, Mathematics, 2019, Colorado State University

 In this thesis we explore electrical impedance tomography (EIT) and new aspects of the solutions to the inverse conductivity problem. Specifically we will focus on… (more)

Subjects/Keywords: electrical impedance tomography; deep learning; inverse problems

…Mathematics at Colorado State University typically uses a bipolar current source to reduce the cost… 

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APA (6th Edition):

Capps, M. (2019). Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195358

Chicago Manual of Style (16th Edition):

Capps, Michael. “Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.” 2019. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/195358.

MLA Handbook (7th Edition):

Capps, Michael. “Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.” 2019. Web. 23 Apr 2021.

Vancouver:

Capps M. Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/195358.

Council of Science Editors:

Capps M. Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195358

9. Davis, Luke L. B. Connections between climate sensitivity and large-scale extratropical dynamics.

Degree: MS(M.S.), Atmospheric Science, 2019, Colorado State University

 The response of the extratropical storm tracks to anthropogenic forcing is one of the most important but poorly understood aspects of climate change. The direct,… (more)
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APA (6th Edition):

Davis, L. L. B. (2019). Connections between climate sensitivity and large-scale extratropical dynamics. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195373

Chicago Manual of Style (16th Edition):

Davis, Luke L B. “Connections between climate sensitivity and large-scale extratropical dynamics.” 2019. Masters Thesis, Colorado State University. Accessed April 23, 2021. http://hdl.handle.net/10217/195373.

MLA Handbook (7th Edition):

Davis, Luke L B. “Connections between climate sensitivity and large-scale extratropical dynamics.” 2019. Web. 23 Apr 2021.

Vancouver:

Davis LLB. Connections between climate sensitivity and large-scale extratropical dynamics. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10217/195373.

Council of Science Editors:

Davis LLB. Connections between climate sensitivity and large-scale extratropical dynamics. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195373

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