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You searched for subject:( Dynamic Data Driven). Showing records 1 – 30 of 53987 total matches.

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University of Arizona

1. Minaeian, Sara. Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles .

Degree: 2017, University of Arizona

 Visual surveillance of human crowds in a dynamic environment has attracted a great amount of computer vision research efforts in recent years. Moving object detection,… (more)

Subjects/Keywords: Computer Vision; Data Association; Dynamic Data-Driven; Geo-Localization; Moving Object Detection; Unmanned Aerial Vehicle

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

APA (6th Edition):

Minaeian, S. (2017). Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/625649

Chicago Manual of Style (16th Edition):

Minaeian, Sara. “Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles .” 2017. Doctoral Dissertation, University of Arizona. Accessed December 04, 2020. http://hdl.handle.net/10150/625649.

MLA Handbook (7th Edition):

Minaeian, Sara. “Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles .” 2017. Web. 04 Dec 2020.

Vancouver:

Minaeian S. Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10150/625649.

Council of Science Editors:

Minaeian S. Dynamic Data-Driven Visual Surveillance of Human Crowds via Cooperative Unmanned Vehicles . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625649


University of Oklahoma

2. Ramachandran, Madhumitha. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.

Degree: PhD, 2019, University of Oklahoma

 The capital-intensive oil & gas industry invests billions of dollars in equipment annually and it is important to keep the equipment in top operating condition… (more)

Subjects/Keywords: prognostics; dynamic seals; data-driven; machine learning; prediction; oil & gas; rotary; reciprocating; degradation; forecasting

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APA (6th Edition):

Ramachandran, M. (2019). Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/323256

Chicago Manual of Style (16th Edition):

Ramachandran, Madhumitha. “Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed December 04, 2020. http://hdl.handle.net/11244/323256.

MLA Handbook (7th Edition):

Ramachandran, Madhumitha. “Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.” 2019. Web. 04 Dec 2020.

Vancouver:

Ramachandran M. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11244/323256.

Council of Science Editors:

Ramachandran M. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/323256

3. Dawson, Scott Thomas McGregor. Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics .

Degree: PhD, 2017, Princeton University

 This thesis focuses on two major themes: modeling and understanding the dynamics of rapidly pitching airfoils, and developing methods that can be used to extract… (more)

Subjects/Keywords: Data-driven modeling; Dynamic mode decomposition; Fluid mechanics; Reduced-order modeling; System identification; Unsteady aerodynamics

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APA (6th Edition):

Dawson, S. T. M. (2017). Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01p2676z051

Chicago Manual of Style (16th Edition):

Dawson, Scott Thomas McGregor. “Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics .” 2017. Doctoral Dissertation, Princeton University. Accessed December 04, 2020. http://arks.princeton.edu/ark:/88435/dsp01p2676z051.

MLA Handbook (7th Edition):

Dawson, Scott Thomas McGregor. “Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics .” 2017. Web. 04 Dec 2020.

Vancouver:

Dawson STM. Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2020 Dec 04]. Available from: http://arks.princeton.edu/ark:/88435/dsp01p2676z051.

Council of Science Editors:

Dawson STM. Reduced-order modeling of fluids systems, with applications in unsteady aerodynamics . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01p2676z051


Rochester Institute of Technology

4. Marozas-Aliaga, Lourdes. Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information.

Degree: PhD, Sustainability (GIS), 2018, Rochester Institute of Technology

  Most building automation systems operate with settings based on design assumptions with fixed operational schedules and fixed occupancy, when in fact both schedules and… (more)

Subjects/Keywords: Data driven control; Demand control ventilation; Dynamic ventilation; Energy conservation measures; Occupancy information; Variable air volume

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APA (6th Edition):

Marozas-Aliaga, L. (2018). Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10158

Chicago Manual of Style (16th Edition):

Marozas-Aliaga, Lourdes. “Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information.” 2018. Doctoral Dissertation, Rochester Institute of Technology. Accessed December 04, 2020. https://scholarworks.rit.edu/theses/10158.

MLA Handbook (7th Edition):

Marozas-Aliaga, Lourdes. “Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information.” 2018. Web. 04 Dec 2020.

Vancouver:

Marozas-Aliaga L. Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2018. [cited 2020 Dec 04]. Available from: https://scholarworks.rit.edu/theses/10158.

Council of Science Editors:

Marozas-Aliaga L. Data Driven Energy Efficiency Strategies for Commercial Buildings Using Occupancy Information. [Doctoral Dissertation]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/10158


Georgia Tech

5. Bishop, Robert Reid. Developing trust and managing uncertainty in partially observable sequential decision-making environments.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 This dissertation consists of three distinct, although conceptually related, papers that are unified in their focus on data-driven, stochastic sequential decision-making environments, but differentiated in… (more)

Subjects/Keywords: Stochastic optimization; Dynamic programming; Supply chain design; Trust; Data-driven decision-making; Structure; Value of information; Robust optimization; Game theory; Simulation

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APA (6th Edition):

Bishop, R. R. (2019). Developing trust and managing uncertainty in partially observable sequential decision-making environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62302

Chicago Manual of Style (16th Edition):

Bishop, Robert Reid. “Developing trust and managing uncertainty in partially observable sequential decision-making environments.” 2019. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/62302.

MLA Handbook (7th Edition):

Bishop, Robert Reid. “Developing trust and managing uncertainty in partially observable sequential decision-making environments.” 2019. Web. 04 Dec 2020.

Vancouver:

Bishop RR. Developing trust and managing uncertainty in partially observable sequential decision-making environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/62302.

Council of Science Editors:

Bishop RR. Developing trust and managing uncertainty in partially observable sequential decision-making environments. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62302

6. Ling, Esther P. An operator-theoretic approach for traffic prediction.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 In this thesis, we develop a case for data-driven modeling of traffic flow at signalized intersections using an operator-theoretic framework. Traffic at signalized arterials is… (more)

Subjects/Keywords: Dynamic mode decomposition; Koopman operator; Signalized traffic; Traffic prediction; Spatio-temporal analysis; Traffic instability; Data driven algorithm

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APA (6th Edition):

Ling, E. P. (2018). An operator-theoretic approach for traffic prediction. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61167

Chicago Manual of Style (16th Edition):

Ling, Esther P. “An operator-theoretic approach for traffic prediction.” 2018. Masters Thesis, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/61167.

MLA Handbook (7th Edition):

Ling, Esther P. “An operator-theoretic approach for traffic prediction.” 2018. Web. 04 Dec 2020.

Vancouver:

Ling EP. An operator-theoretic approach for traffic prediction. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/61167.

Council of Science Editors:

Ling EP. An operator-theoretic approach for traffic prediction. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61167


University of Newcastle

7. Lucas, Benjamin James. New data-driven, signaling-based approaches to social media analytics.

Degree: PhD, 2016, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

This thesis explores the construction of brand and consumer signals on social media as they exist in different… (more)

Subjects/Keywords: social media; data-driven

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APA (6th Edition):

Lucas, B. J. (2016). New data-driven, signaling-based approaches to social media analytics. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1313689

Chicago Manual of Style (16th Edition):

Lucas, Benjamin James. “New data-driven, signaling-based approaches to social media analytics.” 2016. Doctoral Dissertation, University of Newcastle. Accessed December 04, 2020. http://hdl.handle.net/1959.13/1313689.

MLA Handbook (7th Edition):

Lucas, Benjamin James. “New data-driven, signaling-based approaches to social media analytics.” 2016. Web. 04 Dec 2020.

Vancouver:

Lucas BJ. New data-driven, signaling-based approaches to social media analytics. [Internet] [Doctoral dissertation]. University of Newcastle; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1959.13/1313689.

Council of Science Editors:

Lucas BJ. New data-driven, signaling-based approaches to social media analytics. [Doctoral Dissertation]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1313689


University of Houston

8. Panjwani, Shyam. Data Driven Approaches to Model Building: Applications to Energy Industries.

Degree: PhD, Chemical Engineering, 2016, University of Houston

 George Box’s famous quote “All models are wrong, but some are useful” is now widely known. Mathematical models can be built based on a combination… (more)

Subjects/Keywords: Data-driven modeling; Energy Industries

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APA (6th Edition):

Panjwani, S. (2016). Data Driven Approaches to Model Building: Applications to Energy Industries. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5411

Chicago Manual of Style (16th Edition):

Panjwani, Shyam. “Data Driven Approaches to Model Building: Applications to Energy Industries.” 2016. Doctoral Dissertation, University of Houston. Accessed December 04, 2020. http://hdl.handle.net/10657/5411.

MLA Handbook (7th Edition):

Panjwani, Shyam. “Data Driven Approaches to Model Building: Applications to Energy Industries.” 2016. Web. 04 Dec 2020.

Vancouver:

Panjwani S. Data Driven Approaches to Model Building: Applications to Energy Industries. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10657/5411.

Council of Science Editors:

Panjwani S. Data Driven Approaches to Model Building: Applications to Energy Industries. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/5411


Rice University

9. Boninsegna, Lorenzo. A Data-Driven Perspective on Molecular Coarse-Graining.

Degree: PhD, Natural Sciences, 2019, Rice University

 Coarse-graining is an ubiquitous concept in the sciences, and denotes a variety of diverse methods to consistently formulate a low resolution model of a physical… (more)

Subjects/Keywords: Data-driven; coarse-graining; molecules

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APA (6th Edition):

Boninsegna, L. (2019). A Data-Driven Perspective on Molecular Coarse-Graining. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105392

Chicago Manual of Style (16th Edition):

Boninsegna, Lorenzo. “A Data-Driven Perspective on Molecular Coarse-Graining.” 2019. Doctoral Dissertation, Rice University. Accessed December 04, 2020. http://hdl.handle.net/1911/105392.

MLA Handbook (7th Edition):

Boninsegna, Lorenzo. “A Data-Driven Perspective on Molecular Coarse-Graining.” 2019. Web. 04 Dec 2020.

Vancouver:

Boninsegna L. A Data-Driven Perspective on Molecular Coarse-Graining. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1911/105392.

Council of Science Editors:

Boninsegna L. A Data-Driven Perspective on Molecular Coarse-Graining. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/105392


Delft University of Technology

10. Wang, Ziyulong (author). Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns.

Degree: 2019, Delft University of Technology

 In this study, a data-driven, generic and transfer-based methodology for separation and ranking the PTNs has been put forward. With the hierarchy of a network,… (more)

Subjects/Keywords: Hierarchy; Public Transport; Data-Driven

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APA (6th Edition):

Wang, Z. (. (2019). Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns. (Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:752f180e-1db7-4dcc-ada5-dffabf505125

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, Ziyulong (author). “Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns.” 2019. Thesis, Delft University of Technology. Accessed December 04, 2020. http://resolver.tudelft.nl/uuid:752f180e-1db7-4dcc-ada5-dffabf505125.

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

MLA Handbook (7th Edition):

Wang, Ziyulong (author). “Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns.” 2019. Web. 04 Dec 2020.

Vancouver:

Wang Z(. Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns. [Internet] [Thesis]. Delft University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://resolver.tudelft.nl/uuid:752f180e-1db7-4dcc-ada5-dffabf505125.

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

Council of Science Editors:

Wang Z(. Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns. [Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:752f180e-1db7-4dcc-ada5-dffabf505125

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


Delft University of Technology

11. Savelkoul, Stijn (author). The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation.

Degree: 2019, Delft University of Technology

 The continuous innovation within the telecommunications industry is compounded by changing risks for the consumer. This is the case within the Netherlands, where the use… (more)

Subjects/Keywords: data-driven risk-based regulation

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APA (6th Edition):

Savelkoul, S. (. (2019). The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:edde1834-6ea9-45f1-9668-924b4ec948f4

Chicago Manual of Style (16th Edition):

Savelkoul, Stijn (author). “The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation.” 2019. Masters Thesis, Delft University of Technology. Accessed December 04, 2020. http://resolver.tudelft.nl/uuid:edde1834-6ea9-45f1-9668-924b4ec948f4.

MLA Handbook (7th Edition):

Savelkoul, Stijn (author). “The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation.” 2019. Web. 04 Dec 2020.

Vancouver:

Savelkoul S(. The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://resolver.tudelft.nl/uuid:edde1834-6ea9-45f1-9668-924b4ec948f4.

Council of Science Editors:

Savelkoul S(. The transition to data-driven risk based regulation on the continuity of public telecommunication networks and services: Identifying the technical and organizational requirements for data-driven risk based regulation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:edde1834-6ea9-45f1-9668-924b4ec948f4


University of Southern California

12. Ziskind, Cassandra F. An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school.

Degree: EdD, Education, 2013, University of Southern California

 The national focus in education continues to center on school accountability and student results. Districts and states are continually searching for ways to improve student… (more)

Subjects/Keywords: data driven decision making

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APA (6th Edition):

Ziskind, C. F. (2013). An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229238/rec/746

Chicago Manual of Style (16th Edition):

Ziskind, Cassandra F. “An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school.” 2013. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229238/rec/746.

MLA Handbook (7th Edition):

Ziskind, Cassandra F. “An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school.” 2013. Web. 04 Dec 2020.

Vancouver:

Ziskind CF. An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229238/rec/746.

Council of Science Editors:

Ziskind CF. An examiniation of staff perceptions of a data driven decision making process used in a high performing title one urban elementary school. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229238/rec/746


University of North Texas

13. Hartmann, Lillian Ann. An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance.

Degree: 2013, University of North Texas

 Among educational researchers, important questions are being asked about how to improve mathematics instruction for elementary students. This study, conducted in a north Texas public… (more)

Subjects/Keywords: Mathematics; student performance; data driven

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APA (6th Edition):

Hartmann, L. A. (2013). An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc407744/

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):

Hartmann, Lillian Ann. “An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance.” 2013. Thesis, University of North Texas. Accessed December 04, 2020. https://digital.library.unt.edu/ark:/67531/metadc407744/.

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

MLA Handbook (7th Edition):

Hartmann, Lillian Ann. “An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance.” 2013. Web. 04 Dec 2020.

Vancouver:

Hartmann LA. An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Dec 04]. Available from: https://digital.library.unt.edu/ark:/67531/metadc407744/.

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

Council of Science Editors:

Hartmann LA. An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc407744/

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


University of Illinois – Urbana-Champaign

14. Li, Xiao. Data-driven adaptive learning systems.

Degree: PhD, Educational Psychology, 2020, University of Illinois – Urbana-Champaign

 Adaptive learning systems are capable of providing more adaptive and efficient assessment and learning experiences for learners than traditional classroom settings. A conventional adaptive learning… (more)

Subjects/Keywords: Adaptive learning system; Data-driven

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APA (6th Edition):

Li, X. (2020). Data-driven adaptive learning systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/107881

Chicago Manual of Style (16th Edition):

Li, Xiao. “Data-driven adaptive learning systems.” 2020. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 04, 2020. http://hdl.handle.net/2142/107881.

MLA Handbook (7th Edition):

Li, Xiao. “Data-driven adaptive learning systems.” 2020. Web. 04 Dec 2020.

Vancouver:

Li X. Data-driven adaptive learning systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2142/107881.

Council of Science Editors:

Li X. Data-driven adaptive learning systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2020. Available from: http://hdl.handle.net/2142/107881


UCLA

15. Chitwood, Nicholas Richard. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.

Degree: Education, 2018, UCLA

 This study examined the effect of various district and site level conditions that influence the frequency of teacher data-driven decision-making behaviors. This study is motivated… (more)

Subjects/Keywords: Educational leadership; Educational administration; data-driven decision-making; data-driven leadership

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APA (6th Edition):

Chitwood, N. R. (2018). The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2jn7d5gd

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):

Chitwood, Nicholas Richard. “The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.” 2018. Thesis, UCLA. Accessed December 04, 2020. http://www.escholarship.org/uc/item/2jn7d5gd.

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

MLA Handbook (7th Edition):

Chitwood, Nicholas Richard. “The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.” 2018. Web. 04 Dec 2020.

Vancouver:

Chitwood NR. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Dec 04]. Available from: http://www.escholarship.org/uc/item/2jn7d5gd.

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

Council of Science Editors:

Chitwood NR. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/2jn7d5gd

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


Delft University of Technology

16. Sedee, Ivo (author). Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation.

Degree: 2019, Delft University of Technology

Monitoring organisations are currently in a transition phase towards risk-based inspections using data models and algorithms in order to increase their efficiency and transparancy. The… (more)

Subjects/Keywords: data-driven risk-based regulation; data-driven inspections; Agent-Based Modeling

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APA (6th Edition):

Sedee, I. (. (2019). Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4ee059f8-6923-4b9e-b807-08944027d2d5

Chicago Manual of Style (16th Edition):

Sedee, Ivo (author). “Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation.” 2019. Masters Thesis, Delft University of Technology. Accessed December 04, 2020. http://resolver.tudelft.nl/uuid:4ee059f8-6923-4b9e-b807-08944027d2d5.

MLA Handbook (7th Edition):

Sedee, Ivo (author). “Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation.” 2019. Web. 04 Dec 2020.

Vancouver:

Sedee I(. Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://resolver.tudelft.nl/uuid:4ee059f8-6923-4b9e-b807-08944027d2d5.

Council of Science Editors:

Sedee I(. Creating a bias in inspection data: Exploring the medium- to long-term effects of data-driven risk-based regulation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:4ee059f8-6923-4b9e-b807-08944027d2d5

17. Johansson, Oscar. Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation .

Degree: Chalmers tekniska högskola / Institutionen för data och informationsteknik, 2020, Chalmers University of Technology

 Requirements engineering is a discipline that is exploring the opportunities in becoming data-driven. Since requirements engineering is a decision-rich field, it is drawing inspiration from… (more)

Subjects/Keywords: Requirements Engineering; Data-Driven Decision Making; Visualization; Data-Driven Requirement Engineering

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

APA (6th Edition):

Johansson, O. (2020). Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301339

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):

Johansson, Oscar. “Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation .” 2020. Thesis, Chalmers University of Technology. Accessed December 04, 2020. http://hdl.handle.net/20.500.12380/301339.

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

MLA Handbook (7th Edition):

Johansson, Oscar. “Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation .” 2020. Web. 04 Dec 2020.

Vancouver:

Johansson O. Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/20.500.12380/301339.

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

Council of Science Editors:

Johansson O. Data-Driven Decision Making in Requirements Engineering: How Simulated Data Can Be Used for Data-Driven Requirement Validation and Elicitation . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301339

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


Penn State University

18. Burrows, Debra Casale. Teacher Use of Data to Guide Instructional Practice in Elementary Schools .

Degree: 2011, Penn State University

 This descriptive study focused on the degree to which data-driven decision making as envisioned by the federal No Child Left Behind (NCLB) legislation was actually… (more)

Subjects/Keywords: data driven decision making; data use; NCLB

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APA (6th Edition):

Burrows, D. C. (2011). Teacher Use of Data to Guide Instructional Practice in Elementary Schools . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11625

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):

Burrows, Debra Casale. “Teacher Use of Data to Guide Instructional Practice in Elementary Schools .” 2011. Thesis, Penn State University. Accessed December 04, 2020. https://submit-etda.libraries.psu.edu/catalog/11625.

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

MLA Handbook (7th Edition):

Burrows, Debra Casale. “Teacher Use of Data to Guide Instructional Practice in Elementary Schools .” 2011. Web. 04 Dec 2020.

Vancouver:

Burrows DC. Teacher Use of Data to Guide Instructional Practice in Elementary Schools . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Dec 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/11625.

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

Council of Science Editors:

Burrows DC. Teacher Use of Data to Guide Instructional Practice in Elementary Schools . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11625

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


University of Illinois – Urbana-Champaign

19. Evans, Margaret E. Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school.

Degree: PhD, Curriculum and Instruction, 2015, University of Illinois – Urbana-Champaign

 In this thesis, I present an analysis of how educators practiced data-driven decision making (DDDM) at Greenbrook Elementary, a school that has historically struggled to… (more)

Subjects/Keywords: data-driven decision making; data use

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APA (6th Edition):

Evans, M. E. (2015). Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78374

Chicago Manual of Style (16th Edition):

Evans, Margaret E. “Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 04, 2020. http://hdl.handle.net/2142/78374.

MLA Handbook (7th Edition):

Evans, Margaret E. “Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school.” 2015. Web. 04 Dec 2020.

Vancouver:

Evans ME. Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2142/78374.

Council of Science Editors:

Evans ME. Data use for what and for whom?: a close look at the policies and teacher practices that shape data-driven decision making at an elementary school. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78374


Penn State University

20. Virani, Nurali. Learning Data-driven Models for Decision-making in Intelligent Physical Systems.

Degree: 2017, Penn State University

 Intelligent physical systems use machine learning for a variety of tasks from health monitoring to control. As the dependence on autonomous decision-making agents increases, it… (more)

Subjects/Keywords: data-driven modeling; statistical learning; density estimation; context learning; context-aware decision-making; pattern classification; multi-modal sensor fusion; sequential hypothesis testing; sequential learning; dynamic sensor selection; intelligent systems

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APA (6th Edition):

Virani, N. (2017). Learning Data-driven Models for Decision-making in Intelligent Physical Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13813nnv105

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):

Virani, Nurali. “Learning Data-driven Models for Decision-making in Intelligent Physical Systems.” 2017. Thesis, Penn State University. Accessed December 04, 2020. https://submit-etda.libraries.psu.edu/catalog/13813nnv105.

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

MLA Handbook (7th Edition):

Virani, Nurali. “Learning Data-driven Models for Decision-making in Intelligent Physical Systems.” 2017. Web. 04 Dec 2020.

Vancouver:

Virani N. Learning Data-driven Models for Decision-making in Intelligent Physical Systems. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Dec 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/13813nnv105.

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

Council of Science Editors:

Virani N. Learning Data-driven Models for Decision-making in Intelligent Physical Systems. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13813nnv105

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


University of Arizona

21. Masoud, Sara. Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems .

Degree: 2019, University of Arizona

 A decision support tool that enables real-time monitoring, planning, and control of large-scale systems at the operational level in an economical and effective way is… (more)

Subjects/Keywords: Dynamic Data Driven Application Systems; Markov Chain Monte Carlo based Bayesian Analysis; Real-time Decision Making; Semi-Supervised Hand Gesture Recognition; Simulation-based Optimization; Vegetable Seedling Propagation

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

APA (6th Edition):

Masoud, S. (2019). Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/634227

Chicago Manual of Style (16th Edition):

Masoud, Sara. “Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems .” 2019. Doctoral Dissertation, University of Arizona. Accessed December 04, 2020. http://hdl.handle.net/10150/634227.

MLA Handbook (7th Edition):

Masoud, Sara. “Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems .” 2019. Web. 04 Dec 2020.

Vancouver:

Masoud S. Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10150/634227.

Council of Science Editors:

Masoud S. Dynamic Data Driven Adaptive Simulation-based Optimization For Large Scale Systems . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634227

22. Fahlaoui, Tarik. Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction.

Degree: Docteur es, Mathématiques Appliquées et Problèmes Inverses : Laboratoire de Mathématiques Appliquées de Compiègne (Unité de recherche EA-2222), 2020, Compiègne

On s’intéresse dans cette thèse à l’apprentissage d’un modèle réduit précis et stable, à partir de données correspondant à la solution d’une équation aux dérivées… (more)

Subjects/Keywords: Équation aux dérivées partielles paramétrées; Data-driven; Analyse spectrale; Algorithme Kernel Ridge Regression (KRR); Réduction de modèles; Model order reduction; Data-driven; Parametrized PDEs; Dynamic Mode Decomposition (DMD); Proper Orthogonal Decomposition (POD); Empirical Interpolation Method (EIM); Artificial Neural Network (ANN); Machine Learning; Partial differential equations; Dynamic systems; Algorithms; Spectral analysis

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

APA (6th Edition):

Fahlaoui, T. (2020). Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction. (Doctoral Dissertation). Compiègne. Retrieved from http://www.theses.fr/2020COMP2535

Chicago Manual of Style (16th Edition):

Fahlaoui, Tarik. “Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction.” 2020. Doctoral Dissertation, Compiègne. Accessed December 04, 2020. http://www.theses.fr/2020COMP2535.

MLA Handbook (7th Edition):

Fahlaoui, Tarik. “Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction.” 2020. Web. 04 Dec 2020.

Vancouver:

Fahlaoui T. Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction. [Internet] [Doctoral dissertation]. Compiègne; 2020. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2020COMP2535.

Council of Science Editors:

Fahlaoui T. Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO : Data-based learning of parametrized spatio-temporal solutions and model order reduction. [Doctoral Dissertation]. Compiègne; 2020. Available from: http://www.theses.fr/2020COMP2535


Georgia Tech

23. Griffin, Daniel J. A framework for understanding and controlling batch cooling crystallization.

Degree: PhD, Chemical and Biomolecular Engineering, 2016, Georgia Tech

 In taking a different view of crystallization dynamics, this thesis reveals a new framework for addressing a prevalent process engineering challenge: control over the size… (more)

Subjects/Keywords: Batch cooling crystallization; Crystal size control; Process analytical technology; Mass-count plot; Focused beam reflectance measurements; FBRM; Attenuated total reflectance Fourier transform infrared; ATR-FTIRpopulation balance; Population balance; Dynamic programming; Optimal control; Model predictive control; Machine learning; Learning from datadata-driven learning; Data-driven learning; Feedback control

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

APA (6th Edition):

Griffin, D. J. (2016). A framework for understanding and controlling batch cooling crystallization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55619

Chicago Manual of Style (16th Edition):

Griffin, Daniel J. “A framework for understanding and controlling batch cooling crystallization.” 2016. Doctoral Dissertation, Georgia Tech. Accessed December 04, 2020. http://hdl.handle.net/1853/55619.

MLA Handbook (7th Edition):

Griffin, Daniel J. “A framework for understanding and controlling batch cooling crystallization.” 2016. Web. 04 Dec 2020.

Vancouver:

Griffin DJ. A framework for understanding and controlling batch cooling crystallization. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1853/55619.

Council of Science Editors:

Griffin DJ. A framework for understanding and controlling batch cooling crystallization. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55619


Mississippi State University

24. McCray, Melissa F. Data driven decision-making and principals perceptions.

Degree: PhD, Education, College of, 2014, Mississippi State University

  In this era of high stakes accountability, assessments are not only used as diagnostic tools, but they are also used to determine the effectiveness… (more)

Subjects/Keywords: self efficacy; principals; decision making; data driven

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APA (6th Edition):

McCray, M. F. (2014). Data driven decision-making and principals perceptions. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282014-181747/ ;

Chicago Manual of Style (16th Edition):

McCray, Melissa F. “Data driven decision-making and principals perceptions.” 2014. Doctoral Dissertation, Mississippi State University. Accessed December 04, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282014-181747/ ;.

MLA Handbook (7th Edition):

McCray, Melissa F. “Data driven decision-making and principals perceptions.” 2014. Web. 04 Dec 2020.

Vancouver:

McCray MF. Data driven decision-making and principals perceptions. [Internet] [Doctoral dissertation]. Mississippi State University; 2014. [cited 2020 Dec 04]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282014-181747/ ;.

Council of Science Editors:

McCray MF. Data driven decision-making and principals perceptions. [Doctoral Dissertation]. Mississippi State University; 2014. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282014-181747/ ;


Penn State University

25. 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 ensure their safety and efficiency, which might be affected due to degradation over time or unanticipated… (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://submit-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 December 04, 2020. https://submit-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. 04 Dec 2020.

Vancouver:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Dec 04]. Available from: https://submit-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://submit-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


McMaster University

26. Ahmed, Ahmed. Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems.

Degree: PhD, 2019, McMaster University

The design of effective quality management strategies in groundwater systems is crucial, as clean water is essential for livelihood, health, and development. Colloids represent a… (more)

Subjects/Keywords: Colloids; Fractures; Data driven; Aquifer system

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APA (6th Edition):

Ahmed, A. (2019). Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25057

Chicago Manual of Style (16th Edition):

Ahmed, Ahmed. “Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems.” 2019. Doctoral Dissertation, McMaster University. Accessed December 04, 2020. http://hdl.handle.net/11375/25057.

MLA Handbook (7th Edition):

Ahmed, Ahmed. “Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems.” 2019. Web. 04 Dec 2020.

Vancouver:

Ahmed A. Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11375/25057.

Council of Science Editors:

Ahmed A. Physics-based and data-driven strategies for simulating colloid behavior in fractured aquifer systems. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25057


Delft University of Technology

27. de Jong, Peter (author). The 'Merk Monitor': A data-driven approach towards capturing Brand Experience.

Degree: 2019, Delft University of Technology

During the 1980s the ‘experiential view’ of a consumers buying process was proposed in literature. Since then, the experience a consumer has when interacting with… (more)

Subjects/Keywords: Brand; Experience; Measurement; Data-driven; Dashboard

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APA (6th Edition):

de Jong, P. (. (2019). The 'Merk Monitor': A data-driven approach towards capturing Brand Experience. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5f726ba7-5b56-4d94-8bce-33784eea725c

Chicago Manual of Style (16th Edition):

de Jong, Peter (author). “The 'Merk Monitor': A data-driven approach towards capturing Brand Experience.” 2019. Masters Thesis, Delft University of Technology. Accessed December 04, 2020. http://resolver.tudelft.nl/uuid:5f726ba7-5b56-4d94-8bce-33784eea725c.

MLA Handbook (7th Edition):

de Jong, Peter (author). “The 'Merk Monitor': A data-driven approach towards capturing Brand Experience.” 2019. Web. 04 Dec 2020.

Vancouver:

de Jong P(. The 'Merk Monitor': A data-driven approach towards capturing Brand Experience. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://resolver.tudelft.nl/uuid:5f726ba7-5b56-4d94-8bce-33784eea725c.

Council of Science Editors:

de Jong P(. The 'Merk Monitor': A data-driven approach towards capturing Brand Experience. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5f726ba7-5b56-4d94-8bce-33784eea725c


University of Debrecen

28. Mesterné Csernyik, Andrea Kinga. Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education .

Degree: DE – TEK – Bölcsészettudományi Kar, 2013, University of Debrecen

 The structure of my thesis reflects a balance between the theory and the applications of Corpus linguistics. I suppose that one cannot gain an insight… (more)

Subjects/Keywords: corpus linguistics; concordancer; data-driven learning; practice

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APA (6th Edition):

Mesterné Csernyik, A. K. (2013). Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/164329

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):

Mesterné Csernyik, Andrea Kinga. “Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education .” 2013. Thesis, University of Debrecen. Accessed December 04, 2020. http://hdl.handle.net/2437/164329.

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

MLA Handbook (7th Edition):

Mesterné Csernyik, Andrea Kinga. “Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education .” 2013. Web. 04 Dec 2020.

Vancouver:

Mesterné Csernyik AK. Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education . [Internet] [Thesis]. University of Debrecen; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2437/164329.

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

Council of Science Editors:

Mesterné Csernyik AK. Options in Using the Achievements of Corpus Linguistics in Teaching English in a Secondary Education . [Thesis]. University of Debrecen; 2013. Available from: http://hdl.handle.net/2437/164329

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


California State University – San Bernardino

29. Barajas, Christopher. DATA DRIVEN WORKFORCE PERFORMANCE PLANNING.

Degree: MSin Information Systems and Technology, Information and Decision Sciences, 2019, California State University – San Bernardino

  The business of logistics and transportation is increasing in demand and complexity and will do so into the future. As with many businesses in… (more)

Subjects/Keywords: Data driven workforce performance planning; Computer Engineering

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APA (6th Edition):

Barajas, C. (2019). DATA DRIVEN WORKFORCE PERFORMANCE PLANNING. (Thesis). California State University – San Bernardino. Retrieved from https://scholarworks.lib.csusb.edu/etd/945

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):

Barajas, Christopher. “DATA DRIVEN WORKFORCE PERFORMANCE PLANNING.” 2019. Thesis, California State University – San Bernardino. Accessed December 04, 2020. https://scholarworks.lib.csusb.edu/etd/945.

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

MLA Handbook (7th Edition):

Barajas, Christopher. “DATA DRIVEN WORKFORCE PERFORMANCE PLANNING.” 2019. Web. 04 Dec 2020.

Vancouver:

Barajas C. DATA DRIVEN WORKFORCE PERFORMANCE PLANNING. [Internet] [Thesis]. California State University – San Bernardino; 2019. [cited 2020 Dec 04]. Available from: https://scholarworks.lib.csusb.edu/etd/945.

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

Council of Science Editors:

Barajas C. DATA DRIVEN WORKFORCE PERFORMANCE PLANNING. [Thesis]. California State University – San Bernardino; 2019. Available from: https://scholarworks.lib.csusb.edu/etd/945

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


Delft University of Technology

30. Wilkinson, Juline (author). A data driven lighting design for a 3D printed bridge.

Degree: 2018, Delft University of Technology

 In June 2015, MX3D announced that they were planning on building a fully functional 3D printed stainless steel bridge. The bridge will be placed on… (more)

Subjects/Keywords: Data driven; Lighting design; 3D printed bridge

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

APA (6th Edition):

Wilkinson, J. (. (2018). A data driven lighting design for a 3D printed bridge. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:baf4a5ae-d736-4526-9637-8109054347af

Chicago Manual of Style (16th Edition):

Wilkinson, Juline (author). “A data driven lighting design for a 3D printed bridge.” 2018. Masters Thesis, Delft University of Technology. Accessed December 04, 2020. http://resolver.tudelft.nl/uuid:baf4a5ae-d736-4526-9637-8109054347af.

MLA Handbook (7th Edition):

Wilkinson, Juline (author). “A data driven lighting design for a 3D printed bridge.” 2018. Web. 04 Dec 2020.

Vancouver:

Wilkinson J(. A data driven lighting design for a 3D printed bridge. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Dec 04]. Available from: http://resolver.tudelft.nl/uuid:baf4a5ae-d736-4526-9637-8109054347af.

Council of Science Editors:

Wilkinson J(. A data driven lighting design for a 3D printed bridge. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:baf4a5ae-d736-4526-9637-8109054347af

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