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You searched for +publisher:"University of Vermont" +contributor:("Donna M. Rizzo"). Showing records 1 – 9 of 9 total matches.

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1. Underwood, Kristen. Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach.

Degree: PhD, Civil and Environmental Engineering, 2018, University of Vermont

  Excessive rates of channel adjustment and riverine sediment export represent societal challenges; impacts include: degraded water quality and ecological integrity, erosion hazards to infrastructure,… (more)

Subjects/Keywords: Bayesian inference; data science; machine learning; river dynamics; Environmental Engineering; Geomorphology; Statistics and Probability

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

APA (6th Edition):

Underwood, K. (2018). Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/988

Chicago Manual of Style (16th Edition):

Underwood, Kristen. “Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach.” 2018. Doctoral Dissertation, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/988.

MLA Handbook (7th Edition):

Underwood, Kristen. “Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach.” 2018. Web. 19 Jan 2020.

Vancouver:

Underwood K. Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. [Internet] [Doctoral dissertation]. University of Vermont; 2018. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/988.

Council of Science Editors:

Underwood K. Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. [Doctoral Dissertation]. University of Vermont; 2018. Available from: https://scholarworks.uvm.edu/graddis/988


University of Vermont

2. Miatke, Baxter G. A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data.

Degree: MS, Civil and Environmental Engineering, 2016, University of Vermont

  Rivers deliver significant macronutrients and sediments to lakes that can vary substantially throughout the year. These nutrient and sediment loadings, exacerbated by winter and… (more)

Subjects/Keywords: Lake Champlain; Loading; Nutrients; Sediment; Snowmelt; Temporal; Environmental Engineering; Environmental Sciences; Natural Resources Management and Policy

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APA (6th Edition):

Miatke, B. G. (2016). A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/651

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):

Miatke, Baxter G. “A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data.” 2016. Thesis, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/651.

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

MLA Handbook (7th Edition):

Miatke, Baxter G. “A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data.” 2016. Web. 19 Jan 2020.

Vancouver:

Miatke BG. A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data. [Internet] [Thesis]. University of Vermont; 2016. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/651.

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

Council of Science Editors:

Miatke BG. A Framework For Estimating Nutrient And Sediment Loads That Leverages The Temporal Variability Embedded In Water Monitoring Data. [Thesis]. University of Vermont; 2016. Available from: https://scholarworks.uvm.edu/graddis/651

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


University of Vermont

3. Hanley, John P. A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease.

Degree: PhD, Civil and Environmental Engineering, 2017, University of Vermont

  The scientific community is just beginning to understand some of the profound affects that feature interactions and heterogeneity have on natural systems. Despite the… (more)

Subjects/Keywords: Big Data; Chagas; Evolutionary Computation; Feature Interactions; Geostatistics; Heterogeneity; Environmental Engineering; Epidemiology

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

APA (6th Edition):

Hanley, J. P. (2017). A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/727

Chicago Manual of Style (16th Edition):

Hanley, John P. “A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease.” 2017. Doctoral Dissertation, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/727.

MLA Handbook (7th Edition):

Hanley, John P. “A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease.” 2017. Web. 19 Jan 2020.

Vancouver:

Hanley JP. A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease. [Internet] [Doctoral dissertation]. University of Vermont; 2017. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/727.

Council of Science Editors:

Hanley JP. A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease. [Doctoral Dissertation]. University of Vermont; 2017. Available from: https://scholarworks.uvm.edu/graddis/727


University of Vermont

4. Grover, David Klein Weibust. Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications.

Degree: MS, Civil and Environmental Engineering, 2014, University of Vermont

  In many events affecting our civil infrastructure, such as contamination or weathering, it is likely that only the surfaces of the affected building materials… (more)

Subjects/Keywords: autocorrelation; building materials; geostatistics; porous media; surface permeability; weathering; Civil and Environmental Engineering; Environmental Engineering; Mechanics of Materials

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

APA (6th Edition):

Grover, D. K. W. (2014). Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/266

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):

Grover, David Klein Weibust. “Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications.” 2014. Thesis, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/266.

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

MLA Handbook (7th Edition):

Grover, David Klein Weibust. “Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications.” 2014. Web. 19 Jan 2020.

Vancouver:

Grover DKW. Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications. [Internet] [Thesis]. University of Vermont; 2014. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/266.

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

Council of Science Editors:

Grover DKW. Surface Gas Permeability of Porous Building Materials: Measurement, Analysis and Applications. [Thesis]. University of Vermont; 2014. Available from: https://scholarworks.uvm.edu/graddis/266

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


University of Vermont

5. Brand, Matthew Willi. Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events.

Degree: MS, Civil and Environmental Engineering, 2016, University of Vermont

  The leading cause of bridge failure has often been identified as bridge scour, which is generally defined as the erosion or removal of streambed… (more)

Subjects/Keywords: Bridge; Climate Change; Flooding; Fuse; Nonstationarity; Sacrificial Embankment; Civil Engineering; Environmental Engineering

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

APA (6th Edition):

Brand, M. W. (2016). Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/636

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):

Brand, Matthew Willi. “Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events.” 2016. Thesis, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/636.

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

MLA Handbook (7th Edition):

Brand, Matthew Willi. “Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events.” 2016. Web. 19 Jan 2020.

Vancouver:

Brand MW. Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events. [Internet] [Thesis]. University of Vermont; 2016. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/636.

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

Council of Science Editors:

Brand MW. Use Of Sacrificial Embankments To Minimize Bridge Damage From Scour During Extreme Flow Events. [Thesis]. University of Vermont; 2016. Available from: https://scholarworks.uvm.edu/graddis/636

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


University of Vermont

6. McCune-Sanders, William J. An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis.

Degree: MS, Mechanical Engineering, 2018, University of Vermont

  Composting has been practiced for thousands of years as a way of stabilizing and recycling organic matter into useful soil amendments. Thermophilic compost releases… (more)

Subjects/Keywords: compost; enthalpy; experiment; geometry; heat; thermophilic; Agriculture; Environmental Sciences; Thermodynamics

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APA (6th Edition):

McCune-Sanders, W. J. (2018). An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/841

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):

McCune-Sanders, William J. “An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis.” 2018. Thesis, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/841.

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

MLA Handbook (7th Edition):

McCune-Sanders, William J. “An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis.” 2018. Web. 19 Jan 2020.

Vancouver:

McCune-Sanders WJ. An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis. [Internet] [Thesis]. University of Vermont; 2018. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/841.

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

Council of Science Editors:

McCune-Sanders WJ. An Autothermal, Representative Scale Test Of Compost Heat Potential Using Geostatistical Analysis. [Thesis]. University of Vermont; 2018. Available from: https://scholarworks.uvm.edu/graddis/841

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


University of Vermont

7. Anderson, Ian. Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data.

Degree: PhD, Civil and Environmental Engineering, 2018, University of Vermont

  Bridge scour is the leading cause of bridge damage nationwide. Successfully mitigating bridge scour problems depends on our ability to reliably estimate scour potential,… (more)

Subjects/Keywords: Bridge Scour; Extreme Events; Geomorphic; Tropical Storm Irene; Civil Engineering

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

APA (6th Edition):

Anderson, I. (2018). Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/823

Chicago Manual of Style (16th Edition):

Anderson, Ian. “Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data.” 2018. Doctoral Dissertation, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/823.

MLA Handbook (7th Edition):

Anderson, Ian. “Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data.” 2018. Web. 19 Jan 2020.

Vancouver:

Anderson I. Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data. [Internet] [Doctoral dissertation]. University of Vermont; 2018. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/823.

Council of Science Editors:

Anderson I. Improving Detection And Prediction Of Bridge Scour Damage And Vulnerability Under Extreme Flood Events Using Geomorphic And Watershed Data. [Doctoral Dissertation]. University of Vermont; 2018. Available from: https://scholarworks.uvm.edu/graddis/823

8. Howard, Lucas. Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter.

Degree: MS, Civil and Environmental Engineering, 2016, University of Vermont

  Process-based models are used in a diverse array of fields, including environmental engineering to provide supporting information to engineers, policymakers and stakeholdes. Recent advances… (more)

Subjects/Keywords: data assimilation; differential evolution; extended kalman filter; optimization; process-based models; Civil Engineering; Environmental Engineering

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

APA (6th Edition):

Howard, L. (2016). Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/559

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):

Howard, Lucas. “Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter.” 2016. Thesis, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/559.

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

MLA Handbook (7th Edition):

Howard, Lucas. “Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter.” 2016. Web. 19 Jan 2020.

Vancouver:

Howard L. Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter. [Internet] [Thesis]. University of Vermont; 2016. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/559.

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

Council of Science Editors:

Howard L. Leveraging the information content of process-based models using Differential Evolution and the Extended Kalman Filter. [Thesis]. University of Vermont; 2016. Available from: https://scholarworks.uvm.edu/graddis/559

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

9. Hamshaw, Scott Douglas. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning.

Degree: PhD, Civil and Environmental Engineering, 2018, University of Vermont

  Excessive erosion and fine sediment delivery to river corridors and receiving waters degrade aquatic habitat, add to nutrient loading, and impact infrastructure. Understanding the… (more)

Subjects/Keywords: Artificial Neural Networks; Streambank Erosion; Suspended Sediment; Unmanned Aircraft Systems (UAS); Watersheds; Computer Sciences; Environmental Engineering; Hydrology

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

APA (6th Edition):

Hamshaw, S. D. (2018). Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/827

Chicago Manual of Style (16th Edition):

Hamshaw, Scott Douglas. “Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning.” 2018. Doctoral Dissertation, University of Vermont. Accessed January 19, 2020. https://scholarworks.uvm.edu/graddis/827.

MLA Handbook (7th Edition):

Hamshaw, Scott Douglas. “Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning.” 2018. Web. 19 Jan 2020.

Vancouver:

Hamshaw SD. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning. [Internet] [Doctoral dissertation]. University of Vermont; 2018. [cited 2020 Jan 19]. Available from: https://scholarworks.uvm.edu/graddis/827.

Council of Science Editors:

Hamshaw SD. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning. [Doctoral Dissertation]. University of Vermont; 2018. Available from: https://scholarworks.uvm.edu/graddis/827

.