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You searched for subject:(Data modeling). Showing records 1 – 30 of 133 total matches.

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Ohio University

1. Malik, Mandvi. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2018, Ohio University

 Simulation has been extensively used in various studies to optimize the healthcare facility today. However, the simulation models built for the healthcare industry in the… (more)

Subjects/Keywords: Industrial Engineering; Data-Driven Modeling

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APA (6th Edition):

Malik, M. (2018). Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659

Chicago Manual of Style (16th Edition):

Malik, Mandvi. “Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.” 2018. Masters Thesis, Ohio University. Accessed August 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659.

MLA Handbook (7th Edition):

Malik, Mandvi. “Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.” 2018. Web. 18 Aug 2019.

Vancouver:

Malik M. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. [Internet] [Masters thesis]. Ohio University; 2018. [cited 2019 Aug 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659.

Council of Science Editors:

Malik M. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. [Masters Thesis]. Ohio University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659


Virginia Tech

2. Koc, Birgul. Commutation Error in Reduced Order Modeling.

Degree: MS, Mathematics, 2018, Virginia Tech

 We propose reduced order models (ROMs) for an efficient and relatively accurate numerical simulation of nonlinear systems. We use the ROM projection and the ROM… (more)

Subjects/Keywords: Reduced Order Modeling; Data-Driven Modeling; Filtering; Closure Modeling; Commutation Error

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APA (6th Edition):

Koc, B. (2018). Commutation Error in Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87537

Chicago Manual of Style (16th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Masters Thesis, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/87537.

MLA Handbook (7th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Web. 18 Aug 2019.

Vancouver:

Koc B. Commutation Error in Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/87537.

Council of Science Editors:

Koc B. Commutation Error in Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87537


Penn State University

3. Chattopadhyay, Pritthi. Data-Driven Modeling and Pattern Recognition of Dynamical Systems.

Degree: 2018, Penn State University

 Human-engineered complex systems need to be monitored consistently to ensuretheir safety and efficiency, which might be affected due to degradation over timeor unanticipated disturbances. For… (more)

Subjects/Keywords: data-driven modeling; time series analysis

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APA (6th Edition):

Chattopadhyay, P. (2018). Data-Driven Modeling and Pattern Recognition of Dynamical Systems. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15396pxc271

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):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Thesis, Penn State University. Accessed August 18, 2019. https://etda.libraries.psu.edu/catalog/15396pxc271.

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

MLA Handbook (7th Edition):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Web. 18 Aug 2019.

Vancouver:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Aug 18]. Available from: https://etda.libraries.psu.edu/catalog/15396pxc271.

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

Council of Science Editors:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15396pxc271

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


Virginia Tech

4. Mou, Changhong. Cross-Validation of Data-Driven Correction Reduced Order Modeling.

Degree: MS, Mathematics, 2018, Virginia Tech

 Practical engineering and scientific problems often require the repeated simulation of unsteady fluid flows. In these applications, the computational cost of high-fidelity full-order models can… (more)

Subjects/Keywords: Reduced Order Modeling; Scientific Computing; Data-Driven Modeling; Optimization

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APA (6th Edition):

Mou, C. (2018). Cross-Validation of Data-Driven Correction Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87610

Chicago Manual of Style (16th Edition):

Mou, Changhong. “Cross-Validation of Data-Driven Correction Reduced Order Modeling.” 2018. Masters Thesis, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/87610.

MLA Handbook (7th Edition):

Mou, Changhong. “Cross-Validation of Data-Driven Correction Reduced Order Modeling.” 2018. Web. 18 Aug 2019.

Vancouver:

Mou C. Cross-Validation of Data-Driven Correction Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/87610.

Council of Science Editors:

Mou C. Cross-Validation of Data-Driven Correction Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87610


University of Notre Dame

5. Aastha Nigam. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.

Degree: PhD, Computer Science and Engineering, 2018, University of Notre Dame

  Human behavior is highly complex and dependent on the interplay of various intrinsic and extrinsic variables making its study extremely challenging. In the era… (more)

Subjects/Keywords: user behavior modeling; context; content; machine learning; big data; data mining

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APA (6th Edition):

Nigam, A. (2018). Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/c821gh9697t

Chicago Manual of Style (16th Edition):

Nigam, Aastha. “Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.” 2018. Doctoral Dissertation, University of Notre Dame. Accessed August 18, 2019. https://curate.nd.edu/show/c821gh9697t.

MLA Handbook (7th Edition):

Nigam, Aastha. “Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.” 2018. Web. 18 Aug 2019.

Vancouver:

Nigam A. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Aug 18]. Available from: https://curate.nd.edu/show/c821gh9697t.

Council of Science Editors:

Nigam A. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. [Doctoral Dissertation]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/c821gh9697t


Texas A&M University

6. Henri, Maria Antoun. Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data.

Degree: PhD, Educational Psychology, 2018, Texas A&M University

 Latent growth curve models (LGM) are widely used in educational research to analyze longitudinal data. Typical normal-based maximum likelihood estimation (nMLE) assumes that data are… (more)

Subjects/Keywords: Skew t; maximum likelihood; latent growth curve modeling; structural equation modeling; non-normal data

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APA (6th Edition):

Henri, M. A. (2018). Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174373

Chicago Manual of Style (16th Edition):

Henri, Maria Antoun. “Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed August 18, 2019. http://hdl.handle.net/1969.1/174373.

MLA Handbook (7th Edition):

Henri, Maria Antoun. “Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data.” 2018. Web. 18 Aug 2019.

Vancouver:

Henri MA. Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1969.1/174373.

Council of Science Editors:

Henri MA. Skew T Based Maximum Likelihood Estimation of Latent Growth Curve Models with Non-Normal and Missing Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174373


West Virginia University

7. Al Haifi, Al Hasan Mohamed. CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION.

Degree: MS, Petroleum and Natural Gas Engineering, 2019, West Virginia University

Data driven reservoir modeling, also known as Top-Down Model (TDM), is an alternative to the traditional numerical reservoir simulation technique. Data driven reservoir modeling(more)

Subjects/Keywords: Data-Driven Reservoir Modeling; Artificial Intelligence and Data Mining; Top-Down-Model; Reservoir Modeling; Petroleum Engineering

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APA (6th Edition):

Al Haifi, A. H. M. (2019). CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION. (Thesis). West Virginia University. Retrieved from https://researchrepository.wvu.edu/etd/3835

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):

Al Haifi, Al Hasan Mohamed. “CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION.” 2019. Thesis, West Virginia University. Accessed August 18, 2019. https://researchrepository.wvu.edu/etd/3835.

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

MLA Handbook (7th Edition):

Al Haifi, Al Hasan Mohamed. “CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION.” 2019. Web. 18 Aug 2019.

Vancouver:

Al Haifi AHM. CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION. [Internet] [Thesis]. West Virginia University; 2019. [cited 2019 Aug 18]. Available from: https://researchrepository.wvu.edu/etd/3835.

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

Council of Science Editors:

Al Haifi AHM. CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION. [Thesis]. West Virginia University; 2019. Available from: https://researchrepository.wvu.edu/etd/3835

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


University of Washington

8. Mao, Yixin. Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling.

Degree: PhD, 2019, University of Washington

 Soil moisture is a key component of the water cycle. The launch of the new-generation satellite mission, the NASA Soil Moisture Active/Passive (SMAP) mission, in… (more)

Subjects/Keywords: data assimilation; data-driven; hydrology; modeling; SMAP; soil moisture; Hydrologic sciences; Civil engineering

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APA (6th Edition):

Mao, Y. (2019). Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43340

Chicago Manual of Style (16th Edition):

Mao, Yixin. “Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling.” 2019. Doctoral Dissertation, University of Washington. Accessed August 18, 2019. http://hdl.handle.net/1773/43340.

MLA Handbook (7th Edition):

Mao, Yixin. “Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling.” 2019. Web. 18 Aug 2019.

Vancouver:

Mao Y. Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1773/43340.

Council of Science Editors:

Mao Y. Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43340


University of Kansas

9. Chen, Po-Yi. Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods.

Degree: PhD, Psychology, 2018, University of Kansas

 Measurement equivalent/invariance is a key concept in psychological testing. Failing to correctly identify non-invariant items can lead biased group comparisons and biased selections. The methodological… (more)

Subjects/Keywords: Psychology; measurement invariance; missing data; ordinal data; partial invariance; structural equation modeling

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APA (6th Edition):

Chen, P. (2018). Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/27992

Chicago Manual of Style (16th Edition):

Chen, Po-Yi. “Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods.” 2018. Doctoral Dissertation, University of Kansas. Accessed August 18, 2019. http://hdl.handle.net/1808/27992.

MLA Handbook (7th Edition):

Chen, Po-Yi. “Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods.” 2018. Web. 18 Aug 2019.

Vancouver:

Chen P. Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods. [Internet] [Doctoral dissertation]. University of Kansas; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1808/27992.

Council of Science Editors:

Chen P. Strategies to deal with ordinal missing data for measurement invariance testing and specification searches – A comparison of commonly used methods. [Doctoral Dissertation]. University of Kansas; 2018. Available from: http://hdl.handle.net/1808/27992


University of South Florida

10. Quintero, Michael C. Constructing a Clinical Research Data Management System.

Degree: 2017, University of South Florida

 Clinical study data is usually collected without knowing what kind of data is going to be collected in advance. In addition, all of the possible… (more)

Subjects/Keywords: Sparse Data Storage; Entity Attribute Value Data Model; Database Modeling; Wide Tables; Clinical Study Data; Computer Sciences; Databases and Information Systems

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APA (6th Edition):

Quintero, M. C. (2017). Constructing a Clinical Research Data Management System. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7081

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):

Quintero, Michael C. “Constructing a Clinical Research Data Management System.” 2017. Thesis, University of South Florida. Accessed August 18, 2019. https://scholarcommons.usf.edu/etd/7081.

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

MLA Handbook (7th Edition):

Quintero, Michael C. “Constructing a Clinical Research Data Management System.” 2017. Web. 18 Aug 2019.

Vancouver:

Quintero MC. Constructing a Clinical Research Data Management System. [Internet] [Thesis]. University of South Florida; 2017. [cited 2019 Aug 18]. Available from: https://scholarcommons.usf.edu/etd/7081.

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

Council of Science Editors:

Quintero MC. Constructing a Clinical Research Data Management System. [Thesis]. University of South Florida; 2017. Available from: https://scholarcommons.usf.edu/etd/7081

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


Vanderbilt University

11. Kahn, Jennifer Beth. At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data.

Degree: PhD, Learning, Teaching and Diversity, 2017, Vanderbilt University

 The recent public availability of large-scale datasets, also known as big data, and digital visualization tools has ushered in new ways of telling stories about… (more)

Subjects/Keywords: youth and family learning; geobiography; design-based research; data wrangling; data modeling; storytelling; getting personal; big data

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APA (6th Edition):

Kahn, J. B. (2017). At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11172017-135209/ ;

Chicago Manual of Style (16th Edition):

Kahn, Jennifer Beth. “At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed August 18, 2019. http://etd.library.vanderbilt.edu/available/etd-11172017-135209/ ;.

MLA Handbook (7th Edition):

Kahn, Jennifer Beth. “At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data.” 2017. Web. 18 Aug 2019.

Vancouver:

Kahn JB. At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2019 Aug 18]. Available from: http://etd.library.vanderbilt.edu/available/etd-11172017-135209/ ;.

Council of Science Editors:

Kahn JB. At the Intersection of Self and Society: Learning, Storytelling, and Modeling With Big Data. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-11172017-135209/ ;


University of Victoria

12. Thomas, Robert. An investigation of fuzzy modeling for spatial prediction with sparsely distributed data.

Degree: Department of Mechanical Engineering, 2018, University of Victoria

 Dioxins are highly toxic persistent environmental pollutants that occur in marine harbour sediments as the results of industrial practices around the world and pose a… (more)

Subjects/Keywords: fuzzy modeling; geospatial; prediction; sparse data; kriging; IDW; Inverse Distance Weighting

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APA (6th Edition):

Thomas, R. (2018). An investigation of fuzzy modeling for spatial prediction with sparsely distributed data. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/10013

Chicago Manual of Style (16th Edition):

Thomas, Robert. “An investigation of fuzzy modeling for spatial prediction with sparsely distributed data.” 2018. Masters Thesis, University of Victoria. Accessed August 18, 2019. https://dspace.library.uvic.ca//handle/1828/10013.

MLA Handbook (7th Edition):

Thomas, Robert. “An investigation of fuzzy modeling for spatial prediction with sparsely distributed data.” 2018. Web. 18 Aug 2019.

Vancouver:

Thomas R. An investigation of fuzzy modeling for spatial prediction with sparsely distributed data. [Internet] [Masters thesis]. University of Victoria; 2018. [cited 2019 Aug 18]. Available from: https://dspace.library.uvic.ca//handle/1828/10013.

Council of Science Editors:

Thomas R. An investigation of fuzzy modeling for spatial prediction with sparsely distributed data. [Masters Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/10013


University of Minnesota

13. Peralta Torres, Yadira. Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves.

Degree: PhD, Educational Psychology, 2018, University of Minnesota

 Developmental processes rarely occur in isolation; often the growth curves of two or more variables are interdependent. In addition, frequently, growth curves do not portray… (more)

Subjects/Keywords: Bayesian modeling; Bivariate processes; Longitudinal data; Piecewise linear model; Segmented trajectories

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APA (6th Edition):

Peralta Torres, Y. (2018). Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201670

Chicago Manual of Style (16th Edition):

Peralta Torres, Yadira. “Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves.” 2018. Doctoral Dissertation, University of Minnesota. Accessed August 18, 2019. http://hdl.handle.net/11299/201670.

MLA Handbook (7th Edition):

Peralta Torres, Yadira. “Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves.” 2018. Web. 18 Aug 2019.

Vancouver:

Peralta Torres Y. Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/11299/201670.

Council of Science Editors:

Peralta Torres Y. Bayesian Modeling of Associations in Bivariate Mixed-Effects Models for Segmented Growth Curves. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201670


Iowa State University

14. Wu, Linjiang. Spatiotemporal graphical modeling for cyber-physical systems.

Degree: 2018, Iowa State University

 Cyber-Physical Systems (CPSs) are combinations of physical processes and network computation. Modern CPSs such as smart buildings, power plants, transportation networks, and power-grids have shown… (more)

Subjects/Keywords: Cyber-physical Systems; Data-Driven; Graphical Modeling; Symbolic Dynamic; Mechanical Engineering

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APA (6th Edition):

Wu, L. (2018). Spatiotemporal graphical modeling for cyber-physical systems. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16754

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):

Wu, Linjiang. “Spatiotemporal graphical modeling for cyber-physical systems.” 2018. Thesis, Iowa State University. Accessed August 18, 2019. https://lib.dr.iastate.edu/etd/16754.

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

MLA Handbook (7th Edition):

Wu, Linjiang. “Spatiotemporal graphical modeling for cyber-physical systems.” 2018. Web. 18 Aug 2019.

Vancouver:

Wu L. Spatiotemporal graphical modeling for cyber-physical systems. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Aug 18]. Available from: https://lib.dr.iastate.edu/etd/16754.

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

Council of Science Editors:

Wu L. Spatiotemporal graphical modeling for cyber-physical systems. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16754

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


University of California – Berkeley

15. Bourgin, David Davenport. Testing Models of Cognition at Scale.

Degree: Psychology, 2018, University of California – Berkeley

 The explosion of data generated during people's interactions online presents an opportunity for cognitive scientists to evaluate their models on real-world tasks outside the constraints… (more)

Subjects/Keywords: Cognitive psychology; Computer science; Big data; Cognitive science; Computational modeling

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APA (6th Edition):

Bourgin, D. D. (2018). Testing Models of Cognition at Scale. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/2df27426

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):

Bourgin, David Davenport. “Testing Models of Cognition at Scale.” 2018. Thesis, University of California – Berkeley. Accessed August 18, 2019. http://www.escholarship.org/uc/item/2df27426.

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

MLA Handbook (7th Edition):

Bourgin, David Davenport. “Testing Models of Cognition at Scale.” 2018. Web. 18 Aug 2019.

Vancouver:

Bourgin DD. Testing Models of Cognition at Scale. [Internet] [Thesis]. University of California – Berkeley; 2018. [cited 2019 Aug 18]. Available from: http://www.escholarship.org/uc/item/2df27426.

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

Council of Science Editors:

Bourgin DD. Testing Models of Cognition at Scale. [Thesis]. University of California – Berkeley; 2018. Available from: http://www.escholarship.org/uc/item/2df27426

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


Texas A&M University

16. Onishi, Tsubasa. Effective Modeling Approaches for CO2 EOR Developments.

Degree: MS, Petroleum Engineering, 2017, Texas A&M University

 We present a simulation study of a mature reservoir for COv2 Enhanced Oil Recovery (EOR) development. This project is currently recognized as the world’s largest… (more)

Subjects/Keywords: CO2-EOR; History matching; Model Calibration; Data Integration; Parameterization; fracture modeling

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

APA (6th Edition):

Onishi, T. (2017). Effective Modeling Approaches for CO2 EOR Developments. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169575

Chicago Manual of Style (16th Edition):

Onishi, Tsubasa. “Effective Modeling Approaches for CO2 EOR Developments.” 2017. Masters Thesis, Texas A&M University. Accessed August 18, 2019. http://hdl.handle.net/1969.1/169575.

MLA Handbook (7th Edition):

Onishi, Tsubasa. “Effective Modeling Approaches for CO2 EOR Developments.” 2017. Web. 18 Aug 2019.

Vancouver:

Onishi T. Effective Modeling Approaches for CO2 EOR Developments. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1969.1/169575.

Council of Science Editors:

Onishi T. Effective Modeling Approaches for CO2 EOR Developments. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169575


University of Victoria

17. Keshavarz Hedayati, Babak. Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus.

Degree: Department of Electrical and Computer Engineering, 2019, University of Victoria

 Neural networks are an important tool in the field of data science as well as in the study of the very structures they were inspired… (more)

Subjects/Keywords: neural networks; data modeling; hippocampus; regularization; regression; classification

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APA (6th Edition):

Keshavarz Hedayati, B. (2019). Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/10742

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):

Keshavarz Hedayati, Babak. “Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus.” 2019. Thesis, University of Victoria. Accessed August 18, 2019. http://hdl.handle.net/1828/10742.

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

MLA Handbook (7th Edition):

Keshavarz Hedayati, Babak. “Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus.” 2019. Web. 18 Aug 2019.

Vancouver:

Keshavarz Hedayati B. Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus. [Internet] [Thesis]. University of Victoria; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1828/10742.

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

Council of Science Editors:

Keshavarz Hedayati B. Studies on applications of neural networks in modeling sparse datasets and in the analysis of dynamics of CA3 in hippocampus. [Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/10742

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


Brigham Young University

18. Souffront Alcantara, Michael Antonio. A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions.

Degree: PhD, 2018, Brigham Young University

 Water security is defined as a combination of water for achieving our goals as a society, and an acceptable level of water-related risks. Hydrologic modeling(more)

Subjects/Keywords: Hydrologic Modeling; Cyberinfrastructure; Data Visualization; Hydroinformatics; Civil and Environmental Engineering

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APA (6th Edition):

Souffront Alcantara, M. A. (2018). A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8068&context=etd

Chicago Manual of Style (16th Edition):

Souffront Alcantara, Michael Antonio. “A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions.” 2018. Doctoral Dissertation, Brigham Young University. Accessed August 18, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8068&context=etd.

MLA Handbook (7th Edition):

Souffront Alcantara, Michael Antonio. “A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions.” 2018. Web. 18 Aug 2019.

Vancouver:

Souffront Alcantara MA. A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions. [Internet] [Doctoral dissertation]. Brigham Young University; 2018. [cited 2019 Aug 18]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8068&context=etd.

Council of Science Editors:

Souffront Alcantara MA. A Flexible Service-Oriented Approach to Address Hydroinformatic Challenges in Large-Scale Hydrologic Predictions. [Doctoral Dissertation]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8068&context=etd


University of Toronto

19. Wen, Bo Wen. Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks.

Degree: 2017, University of Toronto

The planning of transit services, assessment of operational strategies, and evaluation of service changes can benefit tremendously from high-fidelity transit network models. Traditional microsimulation models… (more)

Subjects/Keywords: machine learning; mesoscopic; modeling; open data; planning; public transport; 0709

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APA (6th Edition):

Wen, B. W. (2017). Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79147

Chicago Manual of Style (16th Edition):

Wen, Bo Wen. “Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks.” 2017. Masters Thesis, University of Toronto. Accessed August 18, 2019. http://hdl.handle.net/1807/79147.

MLA Handbook (7th Edition):

Wen, Bo Wen. “Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks.” 2017. Web. 18 Aug 2019.

Vancouver:

Wen BW. Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1807/79147.

Council of Science Editors:

Wen BW. Data-Driven Mesoscopic Simulation of Large-Scale Surface Transit Networks. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79147


King Abdullah University of Science and Technology

20. Wang, Cheng. Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods.

Degree: 2018, King Abdullah University of Science and Technology

 Chromatin is a complex polymer molecule in eukaryotic cells, primarily consisting of DNA and histones. Many works have shown that the 3D folding of chromatin… (more)

Subjects/Keywords: chromatin 3D structure; Hi-C; structure alignment; data simulation; structure modeling

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APA (6th Edition):

Wang, C. (2018). Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/627924

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, Cheng. “Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed August 18, 2019. http://hdl.handle.net/10754/627924.

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

MLA Handbook (7th Edition):

Wang, Cheng. “Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods.” 2018. Web. 18 Aug 2019.

Vancouver:

Wang C. Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10754/627924.

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

Council of Science Editors:

Wang C. Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/627924

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


Virginia Tech

21. Wang, Xiangwen. Heavy Tails and Anomalous Diffusion in Human Online Dynamics.

Degree: PhD, Physics, 2019, Virginia Tech

 In this dissertation, I extend the analysis of human dynamics to human movements in online activities. My work starts with a discussion of the human… (more)

Subjects/Keywords: Human Dynamics; Data-Driven Modeling; Heavy Tails; Random Walks; Anomalous Diffusion

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APA (6th Edition):

Wang, X. (2019). Heavy Tails and Anomalous Diffusion in Human Online Dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88034

Chicago Manual of Style (16th Edition):

Wang, Xiangwen. “Heavy Tails and Anomalous Diffusion in Human Online Dynamics.” 2019. Doctoral Dissertation, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/88034.

MLA Handbook (7th Edition):

Wang, Xiangwen. “Heavy Tails and Anomalous Diffusion in Human Online Dynamics.” 2019. Web. 18 Aug 2019.

Vancouver:

Wang X. Heavy Tails and Anomalous Diffusion in Human Online Dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/88034.

Council of Science Editors:

Wang X. Heavy Tails and Anomalous Diffusion in Human Online Dynamics. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/88034


University of South Florida

22. Toglia, Patrick. Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease.

Degree: 2018, University of South Florida

 Mitochondria plays a crucial role in cells by maintaining energy metabolism and directing cell death mechanisms by buffering calcium (Ca2+ )from cytosol. Therefore, the Ca2+… (more)

Subjects/Keywords: Ca2+ signaling; Neurodegenerative diseases; Data-Driven Modeling; Biophysics; Other Education

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APA (6th Edition):

Toglia, P. (2018). Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7652

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):

Toglia, Patrick. “Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease.” 2018. Thesis, University of South Florida. Accessed August 18, 2019. https://scholarcommons.usf.edu/etd/7652.

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

MLA Handbook (7th Edition):

Toglia, Patrick. “Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease.” 2018. Web. 18 Aug 2019.

Vancouver:

Toglia P. Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease. [Internet] [Thesis]. University of South Florida; 2018. [cited 2019 Aug 18]. Available from: https://scholarcommons.usf.edu/etd/7652.

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

Council of Science Editors:

Toglia P. Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease. [Thesis]. University of South Florida; 2018. Available from: https://scholarcommons.usf.edu/etd/7652

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


Virginia Tech

23. Huang, Jiangeng. Sequential learning, large-scale calibration, and uncertainty quantification.

Degree: PhD, Statistics, 2019, Virginia Tech

 With remarkable advances in computing power, computer experiments continue to expand the boundaries and drive down the cost of various scientific discoveries. New challenges keep… (more)

Subjects/Keywords: sequential learning; computer experiments; uncertainty quantification; big data; hierarchical modeling

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

APA (6th Edition):

Huang, J. (2019). Sequential learning, large-scale calibration, and uncertainty quantification. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91935

Chicago Manual of Style (16th Edition):

Huang, Jiangeng. “Sequential learning, large-scale calibration, and uncertainty quantification.” 2019. Doctoral Dissertation, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/91935.

MLA Handbook (7th Edition):

Huang, Jiangeng. “Sequential learning, large-scale calibration, and uncertainty quantification.” 2019. Web. 18 Aug 2019.

Vancouver:

Huang J. Sequential learning, large-scale calibration, and uncertainty quantification. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/91935.

Council of Science Editors:

Huang J. Sequential learning, large-scale calibration, and uncertainty quantification. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91935


Rochester Institute of Technology

24. Wu, Qiuyi. Statistical Aspects of Music Mining: Naive Dictionary Representation.

Degree: MS, School of Mathematical Sciences (COS), 2018, Rochester Institute of Technology

  Extensive studies have been conducted on both musical scores and audio tracks of western classical music with the finality of learning and detecting the… (more)

Subjects/Keywords: Data mining; Lexicon; Muselets; Naive dictionary; Pattern recognition; Topic modeling

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

APA (6th Edition):

Wu, Q. (2018). Statistical Aspects of Music Mining: Naive Dictionary Representation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9932

Chicago Manual of Style (16th Edition):

Wu, Qiuyi. “Statistical Aspects of Music Mining: Naive Dictionary Representation.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed August 18, 2019. https://scholarworks.rit.edu/theses/9932.

MLA Handbook (7th Edition):

Wu, Qiuyi. “Statistical Aspects of Music Mining: Naive Dictionary Representation.” 2018. Web. 18 Aug 2019.

Vancouver:

Wu Q. Statistical Aspects of Music Mining: Naive Dictionary Representation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Aug 18]. Available from: https://scholarworks.rit.edu/theses/9932.

Council of Science Editors:

Wu Q. Statistical Aspects of Music Mining: Naive Dictionary Representation. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9932


University of Lund

25. Wu, Zhendong. Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion.

Degree: 2018, University of Lund

 The terrestrial ecosystem sequesters about one-third of anthropogenic emissions each year, thereby providing a critical ecosystem service that slows the rate of increase of atmospheric… (more)

Subjects/Keywords: Naturvetenskap; Global carbon cycle; Ecosystem modeling; Uncertainty; LPJ-GUESS; Traceability Framework; Model-data fusion; Climate data

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APA (6th Edition):

Wu, Z. (2018). Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/a104fc98-7cbc-49cd-b3f0-4ac91dd0a08d ; http://dx.doi.org/10.1088/1748-9326/aa6fd8https://doi.org/10.1371/journal. pone.0199383 ; http://portal.research.lu.se/ws/files/51836618/kappa_final_ZhendongWu.pdf

Chicago Manual of Style (16th Edition):

Wu, Zhendong. “Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion.” 2018. Doctoral Dissertation, University of Lund. Accessed August 18, 2019. http://lup.lub.lu.se/record/a104fc98-7cbc-49cd-b3f0-4ac91dd0a08d ; http://dx.doi.org/10.1088/1748-9326/aa6fd8https://doi.org/10.1371/journal. pone.0199383 ; http://portal.research.lu.se/ws/files/51836618/kappa_final_ZhendongWu.pdf.

MLA Handbook (7th Edition):

Wu, Zhendong. “Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion.” 2018. Web. 18 Aug 2019.

Vancouver:

Wu Z. Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion. [Internet] [Doctoral dissertation]. University of Lund; 2018. [cited 2019 Aug 18]. Available from: http://lup.lub.lu.se/record/a104fc98-7cbc-49cd-b3f0-4ac91dd0a08d ; http://dx.doi.org/10.1088/1748-9326/aa6fd8https://doi.org/10.1371/journal. pone.0199383 ; http://portal.research.lu.se/ws/files/51836618/kappa_final_ZhendongWu.pdf.

Council of Science Editors:

Wu Z. Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion. [Doctoral Dissertation]. University of Lund; 2018. Available from: http://lup.lub.lu.se/record/a104fc98-7cbc-49cd-b3f0-4ac91dd0a08d ; http://dx.doi.org/10.1088/1748-9326/aa6fd8https://doi.org/10.1371/journal. pone.0199383 ; http://portal.research.lu.se/ws/files/51836618/kappa_final_ZhendongWu.pdf


Texas State University – San Marcos

26. Sabbagh, Ramin. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.

Degree: MS, Technology Management, 2018, Texas State University – San Marcos

 Most of the information available in the manufacturing industry is in unstructured, natural language format. The unstructured data could contain important and useful information that… (more)

Subjects/Keywords: Manufacturing; Supply Chain; Text Mining; Classification; Clustering; Topic Modeling; Machine Learning; Database management; Data mining; Business logistics – Data processing

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

APA (6th Edition):

Sabbagh, R. (2018). Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7448

Chicago Manual of Style (16th Edition):

Sabbagh, Ramin. “Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed August 18, 2019. https://digital.library.txstate.edu/handle/10877/7448.

MLA Handbook (7th Edition):

Sabbagh, Ramin. “Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.” 2018. Web. 18 Aug 2019.

Vancouver:

Sabbagh R. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Aug 18]. Available from: https://digital.library.txstate.edu/handle/10877/7448.

Council of Science Editors:

Sabbagh R. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7448

27. Kritter, Thibaut. Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology.

Degree: Docteur es, Mathématiques appliquées et calcul scientifique, 2018, Bordeaux

Cette thèse présente des travaux en lien avec l’utilisation de données cliniques dans la construction de modèles appliqués à l’oncologie. Les modèles actuels visant à… (more)

Subjects/Keywords: Modélisation; Assimilation de données; Apprentissage automatique; Gliomes; Modeling; Data assimilation; Machine learning; Glioma

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

APA (6th Edition):

Kritter, T. (2018). Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2018BORD0166

Chicago Manual of Style (16th Edition):

Kritter, Thibaut. “Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology.” 2018. Doctoral Dissertation, Bordeaux. Accessed August 18, 2019. http://www.theses.fr/2018BORD0166.

MLA Handbook (7th Edition):

Kritter, Thibaut. “Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology.” 2018. Web. 18 Aug 2019.

Vancouver:

Kritter T. Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology. [Internet] [Doctoral dissertation]. Bordeaux; 2018. [cited 2019 Aug 18]. Available from: http://www.theses.fr/2018BORD0166.

Council of Science Editors:

Kritter T. Utilisation de données cliniques pour la construction de modèles en oncologie : Clinical data used to build models in oncology. [Doctoral Dissertation]. Bordeaux; 2018. Available from: http://www.theses.fr/2018BORD0166


University of Georgia

28. Nural, Mustafa Veysi. Ontology-based semantics vs meta-learning for predictive big data analytics.

Degree: PhD, Computer Science, 2017, University of Georgia

 Predictive analytics in the big data era is taking on an ever increasingly important role. Issues related to choice on modeling technique, estimation procedure (or… (more)

Subjects/Keywords: predictive big data analytics; automated modeling; meta-learning; ontology-based semantics; machine learning

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

APA (6th Edition):

Nural, M. V. (2017). Ontology-based semantics vs meta-learning for predictive big data analytics. (Doctoral Dissertation). University of Georgia. Retrieved from http://hdl.handle.net/10724/37821

Chicago Manual of Style (16th Edition):

Nural, Mustafa Veysi. “Ontology-based semantics vs meta-learning for predictive big data analytics.” 2017. Doctoral Dissertation, University of Georgia. Accessed August 18, 2019. http://hdl.handle.net/10724/37821.

MLA Handbook (7th Edition):

Nural, Mustafa Veysi. “Ontology-based semantics vs meta-learning for predictive big data analytics.” 2017. Web. 18 Aug 2019.

Vancouver:

Nural MV. Ontology-based semantics vs meta-learning for predictive big data analytics. [Internet] [Doctoral dissertation]. University of Georgia; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10724/37821.

Council of Science Editors:

Nural MV. Ontology-based semantics vs meta-learning for predictive big data analytics. [Doctoral Dissertation]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37821


Lehigh University

29. Feindt, Jared Alexander. An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data.

Degree: MS, Mechanical Engineering, 2018, Lehigh University

 This work presents a new numerical method for processing atomic force microscopy (AFM) data to determine the elasticity of cultured adherent biological cells. Raw AFM… (more)

Subjects/Keywords: Atomic force microscopy; cancer; cell mechanics; classical contact mechanics; data processing; numerical modeling; Mechanical Engineering

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APA (6th Edition):

Feindt, J. A. (2018). An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2983

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):

Feindt, Jared Alexander. “An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data.” 2018. Thesis, Lehigh University. Accessed August 18, 2019. https://preserve.lehigh.edu/etd/2983.

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

MLA Handbook (7th Edition):

Feindt, Jared Alexander. “An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data.” 2018. Web. 18 Aug 2019.

Vancouver:

Feindt JA. An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data. [Internet] [Thesis]. Lehigh University; 2018. [cited 2019 Aug 18]. Available from: https://preserve.lehigh.edu/etd/2983.

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

Council of Science Editors:

Feindt JA. An Improved Numerical Method for Assessing Cell Elasticity from Atomic Force Microscopy Nanoindentation Data. [Thesis]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/2983

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


University of Washington

30. Fintzi, Jonathan Refael. Bayesian Modeling of Partially Observed Epidemic Count Data.

Degree: PhD, 2019, University of Washington

 Epidemic count data reported by public health surveillance systems reflect the incidence or prevalence of an infectious agent as it spreads through a population. They… (more)

Subjects/Keywords: Biostatistics; Computational methods; Epidemic count data; Markov processes; Stochastic epidemic modeling; Surveillance underreporting; Biostatistics; Biostatistics

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

APA (6th Edition):

Fintzi, J. R. (2019). Bayesian Modeling of Partially Observed Epidemic Count Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43314

Chicago Manual of Style (16th Edition):

Fintzi, Jonathan Refael. “Bayesian Modeling of Partially Observed Epidemic Count Data.” 2019. Doctoral Dissertation, University of Washington. Accessed August 18, 2019. http://hdl.handle.net/1773/43314.

MLA Handbook (7th Edition):

Fintzi, Jonathan Refael. “Bayesian Modeling of Partially Observed Epidemic Count Data.” 2019. Web. 18 Aug 2019.

Vancouver:

Fintzi JR. Bayesian Modeling of Partially Observed Epidemic Count Data. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1773/43314.

Council of Science Editors:

Fintzi JR. Bayesian Modeling of Partially Observed Epidemic Count Data. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43314

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