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You searched for subject:(Predictive modeling). Showing records 1 – 30 of 352 total matches.

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Penn State University

1. Recker, Brittany Nicole. Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry.

Degree: 2015, Penn State University

 The purpose of this study was to add forecast value to the SPC Convective Day 1 Outlooks for the insurance industry through statistical post-processing. This… (more)

Subjects/Keywords: weather; predictive analytics; statistical modeling

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APA (6th Edition):

Recker, B. N. (2015). Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24778

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):

Recker, Brittany Nicole. “Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry.” 2015. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/24778.

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

MLA Handbook (7th Edition):

Recker, Brittany Nicole. “Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry.” 2015. Web. 20 Sep 2020.

Vancouver:

Recker BN. Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/24778.

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

Council of Science Editors:

Recker BN. Post-Processing of SPC Convective Outlooks to Add Value for the Insurance Industry. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24778

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


Oklahoma State University

2. Govindarajan, Anand. Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control.

Degree: Chemical Engineering, 2014, Oklahoma State University

 Conventionally used optimization methods in chemical engineering applications such as linear programming (LP), Levenberg-Marquardt and sequential quadratic programming (SQP) handle nonlinear objective function (OF) surfaces… (more)

Subjects/Keywords: leapfrogging; modeling; optimization; predictive control

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APA (6th Edition):

Govindarajan, A. (2014). Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/14855

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):

Govindarajan, Anand. “Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control.” 2014. Thesis, Oklahoma State University. Accessed September 20, 2020. http://hdl.handle.net/11244/14855.

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

MLA Handbook (7th Edition):

Govindarajan, Anand. “Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control.” 2014. Web. 20 Sep 2020.

Vancouver:

Govindarajan A. Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control. [Internet] [Thesis]. Oklahoma State University; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/14855.

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

Council of Science Editors:

Govindarajan A. Accelerating Convergence of Leapfrogging Optimization - Applications to Nonlinear Process Modeling and Nonlinear Model Predictive Control. [Thesis]. Oklahoma State University; 2014. Available from: http://hdl.handle.net/11244/14855

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


University of Arizona

3. Villa Zapata, Lorenzo Andrés. Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria .

Degree: 2014, University of Arizona

 Background: Predictive models allow clinicians to more accurately identify higher- and lower-risk patients and make more targeted treatment decisions, which can help improve efficiency in… (more)

Subjects/Keywords: Predictive modeling; Pharmaceutical Sciences; Microalbuminuria

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APA (6th Edition):

Villa Zapata, L. A. (2014). Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/333040

Chicago Manual of Style (16th Edition):

Villa Zapata, Lorenzo Andrés. “Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria .” 2014. Doctoral Dissertation, University of Arizona. Accessed September 20, 2020. http://hdl.handle.net/10150/333040.

MLA Handbook (7th Edition):

Villa Zapata, Lorenzo Andrés. “Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria .” 2014. Web. 20 Sep 2020.

Vancouver:

Villa Zapata LA. Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria . [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10150/333040.

Council of Science Editors:

Villa Zapata LA. Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria . [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/333040


Texas A&M University

4. Morris, Max Alexander. Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States.

Degree: MS, Geography, 2019, Texas A&M University

 Ecologists and wildlife managers alike have explored the role of fire as an ecosystem disturbance for decades and, yet, the role of scale remains poorly… (more)

Subjects/Keywords: Wildfire; spatial modeling; predictive modeling; regression; southeast

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APA (6th Edition):

Morris, M. A. (2019). Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187591

Chicago Manual of Style (16th Edition):

Morris, Max Alexander. “Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States.” 2019. Masters Thesis, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/187591.

MLA Handbook (7th Edition):

Morris, Max Alexander. “Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States.” 2019. Web. 20 Sep 2020.

Vancouver:

Morris MA. Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/187591.

Council of Science Editors:

Morris MA. Fuel for Wildfire: Controls on the Distribution of Wildfire in the Southeastern United States. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/187591


University of Edinburgh

5. Blakeman, Ben. ‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey.

Degree: 2010, University of Edinburgh

 Over the past few decades numerous archaeological approaches to predictive modeling have been presented but more recently the application of Dempster-Shafer theory has provided advancement… (more)

Subjects/Keywords: Archaeological Predictive Modeling; Cyprus; Dempster-Shafer; Archaeology

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APA (6th Edition):

Blakeman, B. (2010). ‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3744

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):

Blakeman, Ben. “‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey.” 2010. Thesis, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/3744.

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

MLA Handbook (7th Edition):

Blakeman, Ben. “‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey.” 2010. Web. 20 Sep 2020.

Vancouver:

Blakeman B. ‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/3744.

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

Council of Science Editors:

Blakeman B. ‘Predicting the Past’ Archaeological Survey and Predicting Site Locations with GIS: A Case Study of the Western Cyprus Survey. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/3744

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


UCLA

6. Kang, Elliot. A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System.

Degree: Statistics, 2017, UCLA

 UCLA develops and uses a learning management system to provide an online environment for students to access and interact with course content. The data collected… (more)

Subjects/Keywords: Statistics; learning management system; predictive modeling

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

APA (6th Edition):

Kang, E. (2017). A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9fz536hn

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):

Kang, Elliot. “A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System.” 2017. Thesis, UCLA. Accessed September 20, 2020. http://www.escholarship.org/uc/item/9fz536hn.

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

MLA Handbook (7th Edition):

Kang, Elliot. “A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System.” 2017. Web. 20 Sep 2020.

Vancouver:

Kang E. A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System. [Internet] [Thesis]. UCLA; 2017. [cited 2020 Sep 20]. Available from: http://www.escholarship.org/uc/item/9fz536hn.

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

Council of Science Editors:

Kang E. A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/9fz536hn

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


Texas A&M University

7. Knight, Jason Matthew. Optimal Model-Based Approaches for Predictive Inference in Biology.

Degree: PhD, Electrical Engineering, 2015, Texas A&M University

Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational… (more)

Subjects/Keywords: computational biology; predictive inference; statistical modeling; bioinformatics

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APA (6th Edition):

Knight, J. M. (2015). Optimal Model-Based Approaches for Predictive Inference in Biology. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

Chicago Manual of Style (16th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Doctoral Dissertation, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/155131.

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 20 Sep 2020.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/155131.

Council of Science Editors:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155131


Virginia Tech

8. Evans, Andrew Micheal. Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians.

Degree: MS, Geography, 2013, Virginia Tech

 The northern hardwood forest type is a critical habitat component for the endangered Carolina northern flying squirrel (CNFS; Glaucomys sabrinus coloratus) for denning sites and… (more)

Subjects/Keywords: GIS; Predictive Forest Modeling; Southern Appalachians

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APA (6th Edition):

Evans, A. M. (2013). Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23269

Chicago Manual of Style (16th Edition):

Evans, Andrew Micheal. “Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians.” 2013. Masters Thesis, Virginia Tech. Accessed September 20, 2020. http://hdl.handle.net/10919/23269.

MLA Handbook (7th Edition):

Evans, Andrew Micheal. “Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians.” 2013. Web. 20 Sep 2020.

Vancouver:

Evans AM. Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10919/23269.

Council of Science Editors:

Evans AM. Modeling the Distribution of the Northern Hardwood Forest Type in Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23269


University of Illinois – Chicago

9. Lodhi, Muhammad K. Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records.

Degree: 2017, University of Illinois – Chicago

 With the rapid growth of electronic data repositories in diverse application domains, considerable research interest has been developed to solve issues related to extraction of… (more)

Subjects/Keywords: EHRs; predictive modeling; re-admission; framework

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APA (6th Edition):

Lodhi, M. K. (2017). Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21730

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):

Lodhi, Muhammad K. “Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records.” 2017. Thesis, University of Illinois – Chicago. Accessed September 20, 2020. http://hdl.handle.net/10027/21730.

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

MLA Handbook (7th Edition):

Lodhi, Muhammad K. “Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records.” 2017. Web. 20 Sep 2020.

Vancouver:

Lodhi MK. Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10027/21730.

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

Council of Science Editors:

Lodhi MK. Data Mining of High Dimensional Sparse Dataset: A Case Study of Nursing Electronic Health Records. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21730

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


University of Waterloo

10. Wang, Biao. Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings.

Degree: 2015, University of Waterloo

 The thesis explored a number of fundamental issues regarding the development of predictive models for hospital acquired Clostridium difficile infection (HA CDI) and its outbreaks.… (more)

Subjects/Keywords: Predictive modeling; Clostridium difficile; Hospital acquired infection

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APA (6th Edition):

Wang, B. (2015). Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9448

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, Biao. “Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings.” 2015. Thesis, University of Waterloo. Accessed September 20, 2020. http://hdl.handle.net/10012/9448.

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

MLA Handbook (7th Edition):

Wang, Biao. “Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings.” 2015. Web. 20 Sep 2020.

Vancouver:

Wang B. Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10012/9448.

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

Council of Science Editors:

Wang B. Modelling Hospital Acquired Clostridium difficile Infections And Its Transmission In Acute Hospital Settings. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9448

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

11. Abdunabi, Tarek A. M. A Framework for Ensemble Predictive Modeling.

Degree: 2016, University of Waterloo

 Ensemble systems have been successfully applied in many fields, such as finance, bioinformatics, medicine, cheminformatics, manufacturing, geography, information security, information retrieval, image retrieval, and recommender… (more)

Subjects/Keywords: Predictive Modeling; Intelligent systems; Ensemble systems

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APA (6th Edition):

Abdunabi, T. A. M. (2016). A Framework for Ensemble Predictive Modeling. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10475

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):

Abdunabi, Tarek A M. “A Framework for Ensemble Predictive Modeling.” 2016. Thesis, University of Waterloo. Accessed September 20, 2020. http://hdl.handle.net/10012/10475.

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

MLA Handbook (7th Edition):

Abdunabi, Tarek A M. “A Framework for Ensemble Predictive Modeling.” 2016. Web. 20 Sep 2020.

Vancouver:

Abdunabi TAM. A Framework for Ensemble Predictive Modeling. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10012/10475.

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

Council of Science Editors:

Abdunabi TAM. A Framework for Ensemble Predictive Modeling. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10475

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


University of California – Berkeley

12. Holdgraf, Christopher. Predictive models of auditory perception in human electrophysiology.

Degree: Neuroscience, 2017, University of California – Berkeley

 It has long been thought that sensory systems operate by representing information in a hierarchy of sensory features, and that these features build upon one… (more)

Subjects/Keywords: Neurosciences; computational modeling; machine learning; neuroscience; plasticity; predictive modeling; receptive fields

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

APA (6th Edition):

Holdgraf, C. (2017). Predictive models of auditory perception in human electrophysiology. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/41b351cn

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):

Holdgraf, Christopher. “Predictive models of auditory perception in human electrophysiology.” 2017. Thesis, University of California – Berkeley. Accessed September 20, 2020. http://www.escholarship.org/uc/item/41b351cn.

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

MLA Handbook (7th Edition):

Holdgraf, Christopher. “Predictive models of auditory perception in human electrophysiology.” 2017. Web. 20 Sep 2020.

Vancouver:

Holdgraf C. Predictive models of auditory perception in human electrophysiology. [Internet] [Thesis]. University of California – Berkeley; 2017. [cited 2020 Sep 20]. Available from: http://www.escholarship.org/uc/item/41b351cn.

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

Council of Science Editors:

Holdgraf C. Predictive models of auditory perception in human electrophysiology. [Thesis]. University of California – Berkeley; 2017. Available from: http://www.escholarship.org/uc/item/41b351cn

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


University of Texas – Austin

13. You, Xinqi. A hybrid reduced approach to handle missing values in type 2 diabetes prediction.

Degree: MSin Statistics, Statistics, 2016, University of Texas – Austin

 Diabetes gains more attention among medical institutions and health care organizations as the increasing trend of diabetes around the world. In the United States, 29.1… (more)

Subjects/Keywords: Statistics; Missing value; Data mining; Machine learning; Predictive modeling; Statistical modeling

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APA (6th Edition):

You, X. (2016). A hybrid reduced approach to handle missing values in type 2 diabetes prediction. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2744

Chicago Manual of Style (16th Edition):

You, Xinqi. “A hybrid reduced approach to handle missing values in type 2 diabetes prediction.” 2016. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://dx.doi.org/10.26153/tsw/2744.

MLA Handbook (7th Edition):

You, Xinqi. “A hybrid reduced approach to handle missing values in type 2 diabetes prediction.” 2016. Web. 20 Sep 2020.

Vancouver:

You X. A hybrid reduced approach to handle missing values in type 2 diabetes prediction. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2020 Sep 20]. Available from: http://dx.doi.org/10.26153/tsw/2744.

Council of Science Editors:

You X. A hybrid reduced approach to handle missing values in type 2 diabetes prediction. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://dx.doi.org/10.26153/tsw/2744

14. najaf abadi, shirin. Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City.

Degree: PhD, Civil Engineering, 2019, City University of New York

  Nowadays city mobility is challenging, mainly in populated metropolitan areas. Growing commute demands, increase in the number of for-hire vehicles, enormous escalation in several… (more)

Subjects/Keywords: transportation; optimization; modeling; machine learning; data analysis; predictive modeling; Transportation Engineering

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

APA (6th Edition):

najaf abadi, s. (2019). Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City. (Doctoral Dissertation). City University of New York. Retrieved from https://academicworks.cuny.edu/cc_etds_theses/809

Chicago Manual of Style (16th Edition):

najaf abadi, shirin. “Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City.” 2019. Doctoral Dissertation, City University of New York. Accessed September 20, 2020. https://academicworks.cuny.edu/cc_etds_theses/809.

MLA Handbook (7th Edition):

najaf abadi, shirin. “Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City.” 2019. Web. 20 Sep 2020.

Vancouver:

najaf abadi s. Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City. [Internet] [Doctoral dissertation]. City University of New York; 2019. [cited 2020 Sep 20]. Available from: https://academicworks.cuny.edu/cc_etds_theses/809.

Council of Science Editors:

najaf abadi s. Designing an On-Demand Dynamic Crowdshipping Model and Evaluating its Ability to Serve Local Retail Delivery in New York City. [Doctoral Dissertation]. City University of New York; 2019. Available from: https://academicworks.cuny.edu/cc_etds_theses/809


University of Tennessee – Knoxville

15. Ramsey, Kelcee Storme. Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling.

Degree: MS, Industrial Engineering, 2014, University of Tennessee – Knoxville

  The healthcare industry has recently been given an additional set of guidelines called the Affordable Care Act (ACA). The guidelines (or measurements) will be… (more)

Subjects/Keywords: Healthcare; Predictive Modeling; Optimization; Descriptive Modeling; Industrial Engineering; Nursing

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

APA (6th Edition):

Ramsey, K. S. (2014). Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/2749

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):

Ramsey, Kelcee Storme. “Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling.” 2014. Thesis, University of Tennessee – Knoxville. Accessed September 20, 2020. https://trace.tennessee.edu/utk_gradthes/2749.

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

MLA Handbook (7th Edition):

Ramsey, Kelcee Storme. “Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling.” 2014. Web. 20 Sep 2020.

Vancouver:

Ramsey KS. Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling. [Internet] [Thesis]. University of Tennessee – Knoxville; 2014. [cited 2020 Sep 20]. Available from: https://trace.tennessee.edu/utk_gradthes/2749.

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

Council of Science Editors:

Ramsey KS. Using Predictive and Descriptive Models to Improve Nurse Staff Planning and Scheduling. [Thesis]. University of Tennessee – Knoxville; 2014. Available from: https://trace.tennessee.edu/utk_gradthes/2749

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


KTH

16. Aronsson, Henrik. Modeling strategies using predictive analytics : Forecasting future sales and churn management.

Degree: Information and Communication Technology (ICT), 2015, KTH

This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims… (more)

Subjects/Keywords: Business Intelligence; Predictive Analytics; Data mining; Data warehouse; Predictive Modeling; RFM; Churn

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APA (6th Edition):

Aronsson, H. (2015). Modeling strategies using predictive analytics : Forecasting future sales and churn management. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130

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):

Aronsson, Henrik. “Modeling strategies using predictive analytics : Forecasting future sales and churn management.” 2015. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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

MLA Handbook (7th Edition):

Aronsson, Henrik. “Modeling strategies using predictive analytics : Forecasting future sales and churn management.” 2015. Web. 20 Sep 2020.

Vancouver:

Aronsson H. Modeling strategies using predictive analytics : Forecasting future sales and churn management. [Internet] [Thesis]. KTH; 2015. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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

Council of Science Editors:

Aronsson H. Modeling strategies using predictive analytics : Forecasting future sales and churn management. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130

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


Clemson University

17. Nikou, Tina. Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering.

Degree: PhD, Civil Engineering, 2017, Clemson University

  Elegance and elegant design is a widely sought property in different disciplines, especially in engineering where solutions to design problems have many different factors… (more)

Subjects/Keywords: Construct Operationalization; Descriptive Modeling; Design for User Experience; Elegant Design; Predictive Modeling

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APA (6th Edition):

Nikou, T. (2017). Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1927

Chicago Manual of Style (16th Edition):

Nikou, Tina. “Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering.” 2017. Doctoral Dissertation, Clemson University. Accessed September 20, 2020. https://tigerprints.clemson.edu/all_dissertations/1927.

MLA Handbook (7th Edition):

Nikou, Tina. “Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering.” 2017. Web. 20 Sep 2020.

Vancouver:

Nikou T. Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2020 Sep 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/1927.

Council of Science Editors:

Nikou T. Following the User's Footsteps: A Data-driven Framework for Measuring and Modeling Elegant Design in Engineering. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1927


University of Alberta

18. El-Sayed, Suheil. Measuring wall forces in a slurry pipeline.

Degree: MS, Department of Mechanical Engineering, 2010, University of Alberta

 Slurry transport is a key material handling technology in a number of industries. In oilsands ore transport, slurry pipelining also promotes conditioning to release and… (more)

Subjects/Keywords: Slurry wear; Prognosis; Predictive modeling; Pipelines; Measuring wall forces

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APA (6th Edition):

El-Sayed, S. (2010). Measuring wall forces in a slurry pipeline. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/pz50gx471

Chicago Manual of Style (16th Edition):

El-Sayed, Suheil. “Measuring wall forces in a slurry pipeline.” 2010. Masters Thesis, University of Alberta. Accessed September 20, 2020. https://era.library.ualberta.ca/files/pz50gx471.

MLA Handbook (7th Edition):

El-Sayed, Suheil. “Measuring wall forces in a slurry pipeline.” 2010. Web. 20 Sep 2020.

Vancouver:

El-Sayed S. Measuring wall forces in a slurry pipeline. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2020 Sep 20]. Available from: https://era.library.ualberta.ca/files/pz50gx471.

Council of Science Editors:

El-Sayed S. Measuring wall forces in a slurry pipeline. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/pz50gx471


Cleveland State University

19. Zarei, Milad, Zarei. Predictive Simulation of Rowing Exercise.

Degree: MSin Mechanical Engineering, Washkewicz College of Engineering, 2016, Cleveland State University

 Long term exposure to microgravity environment in spaceflight causes some health issues such as space motion sickness, shift in body fluids, muscle atrophy and bone… (more)

Subjects/Keywords: Biomechanics; Mechanical Engineering; Simulation, Predictive Simulation, Modeling, Exercise, Sports Science, Rowing

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APA (6th Edition):

Zarei, Milad, Z. (2016). Predictive Simulation of Rowing Exercise. (Masters Thesis). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1472557492

Chicago Manual of Style (16th Edition):

Zarei, Milad, Zarei. “Predictive Simulation of Rowing Exercise.” 2016. Masters Thesis, Cleveland State University. Accessed September 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu1472557492.

MLA Handbook (7th Edition):

Zarei, Milad, Zarei. “Predictive Simulation of Rowing Exercise.” 2016. Web. 20 Sep 2020.

Vancouver:

Zarei, Milad Z. Predictive Simulation of Rowing Exercise. [Internet] [Masters thesis]. Cleveland State University; 2016. [cited 2020 Sep 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1472557492.

Council of Science Editors:

Zarei, Milad Z. Predictive Simulation of Rowing Exercise. [Masters Thesis]. Cleveland State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1472557492


Michigan Technological University

20. Tahtinen, Mitchell D. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.

Degree: MS, Department of Mathematical Sciences, 2017, Michigan Technological University

  Ureteropelvic junction obstruction is a disease in which flow from the kidney to the bladder is obstructed for extended periods of time causing irreversible… (more)

Subjects/Keywords: Statistical consulting; biomedical; predictive modeling; kidney failure; Biostatistics; Clinical Trials

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APA (6th Edition):

Tahtinen, M. D. (2017). ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etdr/468

Chicago Manual of Style (16th Edition):

Tahtinen, Mitchell D. “ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.” 2017. Masters Thesis, Michigan Technological University. Accessed September 20, 2020. http://digitalcommons.mtu.edu/etdr/468.

MLA Handbook (7th Edition):

Tahtinen, Mitchell D. “ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.” 2017. Web. 20 Sep 2020.

Vancouver:

Tahtinen MD. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. [Internet] [Masters thesis]. Michigan Technological University; 2017. [cited 2020 Sep 20]. Available from: http://digitalcommons.mtu.edu/etdr/468.

Council of Science Editors:

Tahtinen MD. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. [Masters Thesis]. Michigan Technological University; 2017. Available from: http://digitalcommons.mtu.edu/etdr/468


Penn State University

21. Mishra, Niharika. PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE.

Degree: 2011, Penn State University

 Milk and dairy products are a rich source of macronutrients, proteins, fats and carbohydrates; they are a very important source of calcium and riboflavin and… (more)

Subjects/Keywords: Predictive Modeling; High pessure and temperature; Listeria monocytogenes; Inactivation; Injury; Recovery

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APA (6th Edition):

Mishra, N. (2011). PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11583

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):

Mishra, Niharika. “PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE.” 2011. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/11583.

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

MLA Handbook (7th Edition):

Mishra, Niharika. “PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE.” 2011. Web. 20 Sep 2020.

Vancouver:

Mishra N. PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE. [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/11583.

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

Council of Science Editors:

Mishra N. PREDICTIVE MODELING OF INACTIVATION, INJURY, AND RECOVERY OF LISTERIA MONOCYTOGENES UNDER COMBINED EFFECT OF HIGH PRESSURE AND TEMPERATURE. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11583

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


Leiden University

22. Beuger, Sjoerd. Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands.

Degree: 2016, Leiden University

Investigates predictive modeling for bronze hoards in the Netherlands (Drenthe). After investigating the issues and requirements for this, a model is constructed using fuzzy logic. Advisors/Committee Members: Bourgeois, Quentin (advisor).

Subjects/Keywords: Predictive Modeling; Prehistory; Bronze Age; Bronze hoards; Drenthe; fuzzy logic

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APA (6th Edition):

Beuger, S. (2016). Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/46369

Chicago Manual of Style (16th Edition):

Beuger, Sjoerd. “Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands.” 2016. Masters Thesis, Leiden University. Accessed September 20, 2020. http://hdl.handle.net/1887/46369.

MLA Handbook (7th Edition):

Beuger, Sjoerd. “Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands.” 2016. Web. 20 Sep 2020.

Vancouver:

Beuger S. Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands. [Internet] [Masters thesis]. Leiden University; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1887/46369.

Council of Science Editors:

Beuger S. Predictive modeling for Bronze Age depositions in East-Drenthe, the Netherlands. [Masters Thesis]. Leiden University; 2016. Available from: http://hdl.handle.net/1887/46369


North Carolina State University

23. Payne, Joshua Bill. Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity.

Degree: PhD, Poultry Science, 2006, North Carolina State University

 In order to assess Salmonella dynamics in a poultry production setting, two studies were conducted to evaluate how common environmental factors during production influence Salmonella… (more)

Subjects/Keywords: poultry litter; Salmonella; Predictive modeling

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APA (6th Edition):

Payne, J. B. (2006). Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5870

Chicago Manual of Style (16th Edition):

Payne, Joshua Bill. “Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity.” 2006. Doctoral Dissertation, North Carolina State University. Accessed September 20, 2020. http://www.lib.ncsu.edu/resolver/1840.16/5870.

MLA Handbook (7th Edition):

Payne, Joshua Bill. “Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity.” 2006. Web. 20 Sep 2020.

Vancouver:

Payne JB. Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2020 Sep 20]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5870.

Council of Science Editors:

Payne JB. Modeling the Growth and Death Kinetics of Salmonella in Poultry Litter as a Function of pH and Water Activity. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5870


University of KwaZulu-Natal

24. Naidoo, Sashin. Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa.

Degree: 2018, University of KwaZulu-Natal

 Construction of dams, impoundments and Inter-Basin Transfer schemes (IBTs) along the Orange River are aimed to provide useable water for multiple sectors. However, operation of… (more)

Subjects/Keywords: Blackfly.; Bayesian networks.; Orange River.; Predictive modeling.; Pest control.

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APA (6th Edition):

Naidoo, S. (2018). Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16542

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):

Naidoo, Sashin. “Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa.” 2018. Thesis, University of KwaZulu-Natal. Accessed September 20, 2020. https://researchspace.ukzn.ac.za/handle/10413/16542.

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

MLA Handbook (7th Edition):

Naidoo, Sashin. “Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa.” 2018. Web. 20 Sep 2020.

Vancouver:

Naidoo S. Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2020 Sep 20]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16542.

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

Council of Science Editors:

Naidoo S. Refining prediction accuracy for pest blackfly outbreaks using Bayesian networks, Orange River, Northern Cape, South Africa. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/16542

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


Oklahoma State University

25. Karandikar, Kunal. Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors.

Degree: Industrial Engineering & Management, 2012, Oklahoma State University

 This research investigates an approach to derive respiration waveform from heart sound signals, and compare the waveform signal obtained thus with those obtained from alternative… (more)

Subjects/Keywords: heart sounds; predictive modeling; recurrence; respiration; sleep apnea; wearable vests

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APA (6th Edition):

Karandikar, K. (2012). Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/9853

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):

Karandikar, Kunal. “Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors.” 2012. Thesis, Oklahoma State University. Accessed September 20, 2020. http://hdl.handle.net/11244/9853.

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

MLA Handbook (7th Edition):

Karandikar, Kunal. “Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors.” 2012. Web. 20 Sep 2020.

Vancouver:

Karandikar K. Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors. [Internet] [Thesis]. Oklahoma State University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/9853.

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

Council of Science Editors:

Karandikar K. Estimation of Surrogate Respiration and Detection of Sleep Apnea Events from Dynamic Data Mining of Multiple Cardiorespiratory Sensors. [Thesis]. Oklahoma State University; 2012. Available from: http://hdl.handle.net/11244/9853

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


Univerzitet u Beogradu

26. Marić, Miroslav M., 1977-. Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости.

Degree: Filozofski fakultet, 2016, Univerzitet u Beogradu

Друштвено-хуманистичке науке - Археологија / Humanities - Archaeology

Моделовање предвидљивости постојања археолошких локалитета заснива се на математичком, тачније статистичком предвиђању локације непознатог археолошког налазишта на… (more)

Subjects/Keywords: prehistory; neolithic; Vinča culture; settlement patterns; archaeological site predictive modeling

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APA (6th Edition):

Marić, Miroslav M., 1. (2016). Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12790/bdef:Content/get

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):

Marić, Miroslav M., 1977-. “Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости.” 2016. Thesis, Univerzitet u Beogradu. Accessed September 20, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:12790/bdef:Content/get.

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

MLA Handbook (7th Edition):

Marić, Miroslav M., 1977-. “Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости.” 2016. Web. 20 Sep 2020.

Vancouver:

Marić, Miroslav M. 1. Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Sep 20]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12790/bdef:Content/get.

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

Council of Science Editors:

Marić, Miroslav M. 1. Географски информациони системи у истраживању насеља винчанске културе: моделовање предвидљивости. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12790/bdef:Content/get

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


Boston University

27. Berteau, Stefan André. Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors.

Degree: PhD, Cognitive & Neural Systems, 2018, Boston University

 This dissertation develops computational models to address outstanding problems in the domain of expectation-related cognitive processes and their neuroimaging markers in functional MRI or EEG.… (more)

Subjects/Keywords: Neurosciences; Aesthetics; Attention; Computational modeling; Dynamically labeled predictive coding; Expectations; Mismatch

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APA (6th Edition):

Berteau, S. A. (2018). Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/27671

Chicago Manual of Style (16th Edition):

Berteau, Stefan André. “Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors.” 2018. Doctoral Dissertation, Boston University. Accessed September 20, 2020. http://hdl.handle.net/2144/27671.

MLA Handbook (7th Edition):

Berteau, Stefan André. “Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors.” 2018. Web. 20 Sep 2020.

Vancouver:

Berteau SA. Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2144/27671.

Council of Science Editors:

Berteau SA. Modeling biophysical and neural circuit bases for core cognitive abilities evident in neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition positivity, and alpha suppression of distractors. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/27671


University of Edinburgh

28. Grewe, Dominik. Mapping parallel programs to heterogeneous multi-core systems.

Degree: PhD, 2014, University of Edinburgh

 Heterogeneous computer systems are ubiquitous in all areas of computing, from mobile to high-performance computing. They promise to deliver increased performance at lower energy cost… (more)

Subjects/Keywords: 004; heterogeneous computing; parallel computing; GPU; OpenCL; predictive modeling

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APA (6th Edition):

Grewe, D. (2014). Mapping parallel programs to heterogeneous multi-core systems. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8852

Chicago Manual of Style (16th Edition):

Grewe, Dominik. “Mapping parallel programs to heterogeneous multi-core systems.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/8852.

MLA Handbook (7th Edition):

Grewe, Dominik. “Mapping parallel programs to heterogeneous multi-core systems.” 2014. Web. 20 Sep 2020.

Vancouver:

Grewe D. Mapping parallel programs to heterogeneous multi-core systems. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/8852.

Council of Science Editors:

Grewe D. Mapping parallel programs to heterogeneous multi-core systems. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/8852


University of Sydney

29. An, Vincent Vinh Gia. Predictive models in knee surgery .

Degree: 2018, University of Sydney

 Reconstructive knee surgery is the definitive option for patients with knee pathology which causes irreconcilable functional deficit, or which is otherwise unacceptable without direct intervention.… (more)

Subjects/Keywords: Knee Arthroplasty; ACL Reconstruction; Knee Surgery; Predictive Modeling

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

APA (6th Edition):

An, V. V. G. (2018). Predictive models in knee surgery . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20063

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):

An, Vincent Vinh Gia. “Predictive models in knee surgery .” 2018. Thesis, University of Sydney. Accessed September 20, 2020. http://hdl.handle.net/2123/20063.

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

MLA Handbook (7th Edition):

An, Vincent Vinh Gia. “Predictive models in knee surgery .” 2018. Web. 20 Sep 2020.

Vancouver:

An VVG. Predictive models in knee surgery . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2123/20063.

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

Council of Science Editors:

An VVG. Predictive models in knee surgery . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/20063

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


University of Texas – Austin

30. Oliver, Mark Moore. The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale.

Degree: MSin Energy and Earth Resources, Energy and Earth Resources, 2016, University of Texas – Austin

 The 2015 Clean Water Rule (CWR) amended the definition of aquatic resources under the federal jurisdiction of the Clean Water Act (CWA). Jurisdiction is re-asserted… (more)

Subjects/Keywords: Wetlands; Clean Water Rule; GIS analysis; Bakken; Prairie Potholes; Predictive modeling

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

APA (6th Edition):

Oliver, M. M. (2016). The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46082

Chicago Manual of Style (16th Edition):

Oliver, Mark Moore. “The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale.” 2016. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/46082.

MLA Handbook (7th Edition):

Oliver, Mark Moore. “The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale.” 2016. Web. 20 Sep 2020.

Vancouver:

Oliver MM. The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/46082.

Council of Science Editors:

Oliver MM. The 2015 Clean Water Rule's impact on oil and gas development in the Bakken Shale. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46082

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