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You searched for subject:(temporal precision). Showing records 1 – 10 of 10 total matches.

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Delft University of Technology

1. Karczewski, M.P. (author). Temporal Preference Analysis in Recommender Systems.

Degree: 2011, Delft University of Technology

The thesis presents the results of research into temporal preference analysis in recommender systems. Temporal preference analysis consists of methods for detecting time recurrent changes… (more)

Subjects/Keywords: recommender system; temporal effects; user preferences; precision

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

APA (6th Edition):

Karczewski, M. P. (. (2011). Temporal Preference Analysis in Recommender Systems. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c51c0e1d-1a6f-4098-83d4-086e42d9cdc6

Chicago Manual of Style (16th Edition):

Karczewski, M P (author). “Temporal Preference Analysis in Recommender Systems.” 2011. Masters Thesis, Delft University of Technology. Accessed October 24, 2020. http://resolver.tudelft.nl/uuid:c51c0e1d-1a6f-4098-83d4-086e42d9cdc6.

MLA Handbook (7th Edition):

Karczewski, M P (author). “Temporal Preference Analysis in Recommender Systems.” 2011. Web. 24 Oct 2020.

Vancouver:

Karczewski MP(. Temporal Preference Analysis in Recommender Systems. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Oct 24]. Available from: http://resolver.tudelft.nl/uuid:c51c0e1d-1a6f-4098-83d4-086e42d9cdc6.

Council of Science Editors:

Karczewski MP(. Temporal Preference Analysis in Recommender Systems. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:c51c0e1d-1a6f-4098-83d4-086e42d9cdc6


University of Michigan

2. Shu, Hai. High Dimensional Dependent Data Analysis for Neuroimaging.

Degree: PhD, Biostatistics, 2016, University of Michigan

 This dissertation contains three projects focusing on two major high-dimensional problems for dependent data, particularly neuroimaging data: multiple testing and estimation of large covariance/precision matrices.… (more)

Subjects/Keywords: High dimensional dependent data; Neuroimaging; Multiple testing; Hidden Markov random field; Covariance/precision matrix estimation; Polynomial-decay-dominated temporal dependence; Statistics and Numeric Data; Science

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APA (6th Edition):

Shu, H. (2016). High Dimensional Dependent Data Analysis for Neuroimaging. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133198

Chicago Manual of Style (16th Edition):

Shu, Hai. “High Dimensional Dependent Data Analysis for Neuroimaging.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/133198.

MLA Handbook (7th Edition):

Shu, Hai. “High Dimensional Dependent Data Analysis for Neuroimaging.” 2016. Web. 24 Oct 2020.

Vancouver:

Shu H. High Dimensional Dependent Data Analysis for Neuroimaging. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/133198.

Council of Science Editors:

Shu H. High Dimensional Dependent Data Analysis for Neuroimaging. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133198


Curtin University of Technology

3. Marinelli, Marco Antonio. Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making .

Degree: 2011, Curtin University of Technology

 Important economic and environmental decisions are routinely based on spatial/ temporal models. This thesis studies the uncertainty in the predictions of three such models caused… (more)

Subjects/Keywords: economic and environmental decisions; ecological niche statistical model; precision agriculture model; spatial/temporal models; analytical Taylor series method; uncertainty propagation; Monte Carlo simulation method

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APA (6th Edition):

Marinelli, M. A. (2011). Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/1842

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):

Marinelli, Marco Antonio. “Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making .” 2011. Thesis, Curtin University of Technology. Accessed October 24, 2020. http://hdl.handle.net/20.500.11937/1842.

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

MLA Handbook (7th Edition):

Marinelli, Marco Antonio. “Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making .” 2011. Web. 24 Oct 2020.

Vancouver:

Marinelli MA. Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making . [Internet] [Thesis]. Curtin University of Technology; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/20.500.11937/1842.

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

Council of Science Editors:

Marinelli MA. Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making . [Thesis]. Curtin University of Technology; 2011. Available from: http://hdl.handle.net/20.500.11937/1842

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


Brock University

4. Kotsaki, Eleni. Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards .

Degree: Department of Biological Sciences, Brock University

Precision agriculture is a term used to refer to a suite of technologies used for the optimisation of production in agronomic crops. The overall goal… (more)

Subjects/Keywords: Precision viticulture; proximal sensing technology; NDVI; spatial variability; temporal stability

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APA (6th Edition):

Kotsaki, E. (n.d.). Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/9406

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kotsaki, Eleni. “Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards .” Thesis, Brock University. Accessed October 24, 2020. http://hdl.handle.net/10464/9406.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kotsaki, Eleni. “Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards .” Web. 24 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Kotsaki E. Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards . [Internet] [Thesis]. Brock University; [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10464/9406.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Kotsaki E. Utilisation of Proximal Sensing Technology to Map Variability in Ontario Vineyards . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/9406

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

5. Dong, Jing. Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture.

Degree: PhD, Interactive Computing, 2018, Georgia Tech

 Crop monitoring is one of the most important tasks in precision agriculture, and to reduce cost, such task is often performed autonomously by unmanned aerial… (more)

Subjects/Keywords: Precision agriculture; SLAM; Spatio-temporal reconstruction; Weakly-supervised learning

…reconstructions from temporal and multi-modal image sequences to use in precision agriculture… …3 1.2 Concept of temporal (left) and multi-model (right) 3D… …the sensor box, include a monocular color camera, an PX4 IMU module with a low precision GPS… …exteding 3D reconstruction to temporal 3D (4D) reconstruction, a multi-row 3D… …precision agriculture, and to reduce cost, such task is often performed autonomously by unmanned… 

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APA (6th Edition):

Dong, J. (2018). Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60742

Chicago Manual of Style (16th Edition):

Dong, Jing. “Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/60742.

MLA Handbook (7th Edition):

Dong, Jing. “Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture.” 2018. Web. 24 Oct 2020.

Vancouver:

Dong J. Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/60742.

Council of Science Editors:

Dong J. Extending 3D reconstruction to temporal and multi-model sensor data for precision agriculture. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60742

6. Galbokka Hewage, Pradeep Ruwan Padmasiri. Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector.

Degree: PhD, 2020, Edge Hill University

 As a result of the evolution of agriculture from 1.0 to 4.0, modern-day agriculture is driven by smart systems and smart devices. The evaluation of… (more)

Subjects/Keywords: Long Short-Term Memory; Temporal Convolutional Networks; Weather Prediction; Weather Research and Forecasting model; Time-series Data Analysis; Neural Networks; Precision farming

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APA (6th Edition):

Galbokka Hewage, P. R. P. (2020). Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector. (Doctoral Dissertation). Edge Hill University. Retrieved from https://research.edgehill.ac.uk/en/studentTheses/ad2ff846-de2d-47c8-b843-45c0e827b843 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810453

Chicago Manual of Style (16th Edition):

Galbokka Hewage, Pradeep Ruwan Padmasiri. “Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector.” 2020. Doctoral Dissertation, Edge Hill University. Accessed October 24, 2020. https://research.edgehill.ac.uk/en/studentTheses/ad2ff846-de2d-47c8-b843-45c0e827b843 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810453.

MLA Handbook (7th Edition):

Galbokka Hewage, Pradeep Ruwan Padmasiri. “Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector.” 2020. Web. 24 Oct 2020.

Vancouver:

Galbokka Hewage PRP. Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector. [Internet] [Doctoral dissertation]. Edge Hill University; 2020. [cited 2020 Oct 24]. Available from: https://research.edgehill.ac.uk/en/studentTheses/ad2ff846-de2d-47c8-b843-45c0e827b843 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810453.

Council of Science Editors:

Galbokka Hewage PRP. Empirical evaluation of artificial intelligence based customised weather forecasting and monitoring model for the agriculture sector. [Doctoral Dissertation]. Edge Hill University; 2020. Available from: https://research.edgehill.ac.uk/en/studentTheses/ad2ff846-de2d-47c8-b843-45c0e827b843 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810453

7. Verdugo, Nicolás. Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale.

Degree: Docteur es, Génie des procédés, 2017, Montpellier, SupAgro; International conference on the algebraic and arithmetic theory of quadratic forms (2002 ; Université de Talca, Talca, Chili)

 Le suivi et la connaissance de la phénologie de la vigne sur plusieurs saisons sont des informations essentielles qui permettent de caractériser les régions viticoles,… (more)

Subjects/Keywords: Viticulture de précision; Variabilité intra-Parcellaire; Stades phénologiques de la vigne; Maturité; Stabilité temporelle; Modèle spatial; Precision viticulture; Within-Field variability; Phenological stages of the grapevine; Maturation; Temporal stability; Spatial model

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APA (6th Edition):

Verdugo, N. (2017). Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale. (Doctoral Dissertation). Montpellier, SupAgro; International conference on the algebraic and arithmetic theory of quadratic forms (2002 ; Université de Talca, Talca, Chili). Retrieved from http://www.theses.fr/2017NSAM0015

Chicago Manual of Style (16th Edition):

Verdugo, Nicolás. “Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale.” 2017. Doctoral Dissertation, Montpellier, SupAgro; International conference on the algebraic and arithmetic theory of quadratic forms (2002 ; Université de Talca, Talca, Chili). Accessed October 24, 2020. http://www.theses.fr/2017NSAM0015.

MLA Handbook (7th Edition):

Verdugo, Nicolás. “Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale.” 2017. Web. 24 Oct 2020.

Vancouver:

Verdugo N. Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale. [Internet] [Doctoral dissertation]. Montpellier, SupAgro; International conference on the algebraic and arithmetic theory of quadratic forms (2002 ; Université de Talca, Talca, Chili); 2017. [cited 2020 Oct 24]. Available from: http://www.theses.fr/2017NSAM0015.

Council of Science Editors:

Verdugo N. Caractérisation et modélisation de la variabilité spatiale de la phénologie de la vigne à l’échelle intra-parcellaire : Characterization and modeling of the spatial variability of grapevine phenology at the within-field scale. [Doctoral Dissertation]. Montpellier, SupAgro; International conference on the algebraic and arithmetic theory of quadratic forms (2002 ; Université de Talca, Talca, Chili); 2017. Available from: http://www.theses.fr/2017NSAM0015

8. Finkelshtein, Anna. ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS.

Degree: PhD, 2015, McMaster University

Voluntary actions affect subsequent perception. For example, an action that precedes an auditory stimulus is perceived to have occurred later in time than is actually… (more)

Subjects/Keywords: multisensory; temporal order judgment task; point of subjective simultaneity; just noticeable difference; visuotactile; audiovisual; audiotactile; perceived onset; temporal precision; cognition and perception; cognitive psychology; action

…perception. The effect of spatial attention on temporal precision has produced mixed findings… …not observe a difference in temporal precision for targets presented at attended compared to… …121 Chapter 4: Action Effects on Temporal Resolution of Multisensory Events… …126 4.2.1 The Role of Attention on Temporal Resolution… …128 4.3 Experiment 1: Action Effects on Visuotactile Temporal Resolution… 

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APA (6th Edition):

Finkelshtein, A. (2015). ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/17748

Chicago Manual of Style (16th Edition):

Finkelshtein, Anna. “ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS.” 2015. Doctoral Dissertation, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/17748.

MLA Handbook (7th Edition):

Finkelshtein, Anna. “ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS.” 2015. Web. 24 Oct 2020.

Vancouver:

Finkelshtein A. ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS. [Internet] [Doctoral dissertation]. McMaster University; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/17748.

Council of Science Editors:

Finkelshtein A. ACTION EFFECTS ON THE PERCEPTION OF MULTISENSORY EVENTS. [Doctoral Dissertation]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/17748


Penn State University

9. Norton, Andrew Scott. AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER .

Degree: 2010, Penn State University

 Accurately monitoring population trends is an essential component of game species management. This is especially true for white-tailed deer (Odocoileus virginianus) in Pennsylvania where the… (more)

Subjects/Keywords: temporal variability; spatial variability; harvest rate; bootstrapping; Sex-Age-Kill; ecology; wildlife; population modeling; white-tailed deer; Odocoileus virginianus; deer; sensitivity; robustness; Pennsylvania; precision

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APA (6th Edition):

Norton, A. S. (2010). AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/10792

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):

Norton, Andrew Scott. “AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER .” 2010. Thesis, Penn State University. Accessed October 24, 2020. https://submit-etda.libraries.psu.edu/catalog/10792.

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

MLA Handbook (7th Edition):

Norton, Andrew Scott. “AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER .” 2010. Web. 24 Oct 2020.

Vancouver:

Norton AS. AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER . [Internet] [Thesis]. Penn State University; 2010. [cited 2020 Oct 24]. Available from: https://submit-etda.libraries.psu.edu/catalog/10792.

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

Council of Science Editors:

Norton AS. AN EVALUATION OF THE PENNSYLVANIA SEX-AGE-KILL MODEL FOR WHITE-TAILED DEER . [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/10792

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


McMaster University

10. Dalumpines, Ron. GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling.

Degree: PhD, 2014, McMaster University

Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity… (more)

Subjects/Keywords: GPS; time use diary; episode extraction; multinomial logit; travel behavior; mode detection; episode reconstruction; GIS; map-matching; route choice; path size logit; potential path area; scale estimation; Python; ArcGIS; activity analysis; trip reconstruction; smartphone; global positioning system; geographic information system; toolkit; work trip; shop trip; potential activity location; land use; activity episode; travel episode; stop episode; transferability; scalability; modularity; scripting; big data; travel survey; respondent burden; preprocessing; multipath error; tracking; purpose detection; segmentation; data filter; data smoothing; fuzzy logic; neural network; decision tree; rule-based algorithm; trajectory; point; road network; network dataset; gateway; shortest path; horizontal dilution of precision; HDOP; commonality factor; mode transfer point; Halifax; Nova Scotia; Space-Time Activity Research; variance inflation factor; shapefile; comma-separated values; traveling salesman problem; data mining; branch-and-bound algorithm; pedestrian network; alternative route; observed route; route efficiency; route attributes; distance; time; heading; bearing; duration; acceleration; latitude; longitude; coordinate; overlay analysis; intersect; shopping; module; data logger; walk; likelihood ratio test; classification table; path generation; kappa statistic; degrees; data collection; transportation research; automate; framework; ArcToolbox; spatio-temporal; navigation; positioning; trace path; spatial data; topology; horizontal accuracy; SPSS; Stata; spatial resolution; temporal resolution; household survey; trip reporting; proximity analysis; DMTI; Desktop Mapping Technologies Inc.; road intersection; route overlap; left turn; right turn; location analysis; time geography; spatial statistics; buffer analysis; cycling; bus transit; public transportation; GEOIDE; AGILE; data need; raw data; urban canyon; endpoint; data cleaning; elevation; satellite; outliers; automatic processing; nearest node; classifier; classification method; short trip; multi-point

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

APA (6th Edition):

Dalumpines, R. (2014). GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/15956

Chicago Manual of Style (16th Edition):

Dalumpines, Ron. “GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling.” 2014. Doctoral Dissertation, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/15956.

MLA Handbook (7th Edition):

Dalumpines, Ron. “GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling.” 2014. Web. 24 Oct 2020.

Vancouver:

Dalumpines R. GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/15956.

Council of Science Editors:

Dalumpines R. GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/15956

.