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Degree: MSc

You searched for subject:(info eu repo classification ddc 500). Showing records 1 – 28 of 28 total matches.

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McMaster University

1. Ateeq, Sameen. Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries.

Degree: MSc, 2018, McMaster University

According to the Public Health Agency of Canada, falls account for 95% of all hip fractures in Canada; 20% of fall-related injury cases end in… (more)

Subjects/Keywords: machine learning; supervised classification; falls; CCHS; injuries

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APA (6th Edition):

Ateeq, S. (2018). Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/24095

Chicago Manual of Style (16th Edition):

Ateeq, Sameen. “Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries.” 2018. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/24095.

MLA Handbook (7th Edition):

Ateeq, Sameen. “Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries.” 2018. Web. 14 Nov 2019.

Vancouver:

Ateeq S. Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/24095.

Council of Science Editors:

Ateeq S. Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/24095


Stellenbosch University

2. Kose, Lerato Esther. A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae).

Degree: MSc, Botany and Zoology, 2002, Stellenbosch University

ENGLISH ABSTRACT:Several authors regard the subdivision of the large genus Heliophila as unsatisfactory and in need of a detailed taxonomic study. Previous studies on this… (more)

Subjects/Keywords: Cruciferae  – Classification; Plants  – Classification; Dissertations  – Botany

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APA (6th Edition):

Kose, L. E. (2002). A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae). (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/52694

Chicago Manual of Style (16th Edition):

Kose, Lerato Esther. “A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae).” 2002. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/52694.

MLA Handbook (7th Edition):

Kose, Lerato Esther. “A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae).” 2002. Web. 14 Nov 2019.

Vancouver:

Kose LE. A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae). [Internet] [Masters thesis]. Stellenbosch University; 2002. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/52694.

Council of Science Editors:

Kose LE. A search for taxonomically informative characters in the large genus Heliophila L. (Brassicaceae/Cruciferae). [Masters Thesis]. Stellenbosch University; 2002. Available from: http://hdl.handle.net/10019.1/52694


Stellenbosch University

3. Myburgh, Gerhard. The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers.

Degree: MSc, Geography and Environmental Studies, 2012, Stellenbosch University

ENGLISH ABSTRACT: Supervised classifiers are commonly used in remote sensing to extract land cover information. They are, however, limited in their ability to cost-effectively produce… (more)

Subjects/Keywords: Geography and environmental studies; Remote-sensing images  – Classification; Land cover  – Maps  – Classification

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APA (6th Edition):

Myburgh, G. (2012). The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/71655

Chicago Manual of Style (16th Edition):

Myburgh, Gerhard. “The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers.” 2012. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/71655.

MLA Handbook (7th Edition):

Myburgh, Gerhard. “The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers.” 2012. Web. 14 Nov 2019.

Vancouver:

Myburgh G. The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers. [Internet] [Masters thesis]. Stellenbosch University; 2012. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/71655.

Council of Science Editors:

Myburgh G. The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers. [Masters Thesis]. Stellenbosch University; 2012. Available from: http://hdl.handle.net/10019.1/71655


Stellenbosch University

4. Dinwa, Siziphiwe. Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination.

Degree: MSc, Soil Science, 2018, Stellenbosch University

 ENGLISH ABSTRACT: Water dispersible clay (WDC) is defined as the colloid fraction which disperses in water without removal of cementing compounds or the use of… (more)

Subjects/Keywords: Soil classification; Water dispersible clay (WDC); Chemically dispersible clay; UCTD

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APA (6th Edition):

Dinwa, S. (2018). Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103677

Chicago Manual of Style (16th Edition):

Dinwa, Siziphiwe. “Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination.” 2018. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/103677.

MLA Handbook (7th Edition):

Dinwa, Siziphiwe. “Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination.” 2018. Web. 14 Nov 2019.

Vancouver:

Dinwa S. Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination. [Internet] [Masters thesis]. Stellenbosch University; 2018. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/103677.

Council of Science Editors:

Dinwa S. Development, optimization and use of a reduced-sample, water dispersible clay extraction technique for taxonomic horizon discrimination. [Masters Thesis]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103677


McMaster University

5. Blostein, Martin. An Efficient Implementation of a Robust Clustering Algorithm.

Degree: MSc, 2016, McMaster University

Clustering and classification are fundamental problems in statistical and machine learning, with a broad range of applications. A common approach is the Gaussian mixture model,… (more)

Subjects/Keywords: clustering; classification; statistical learning; machine learning; robust; computational statistics; mixture models

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APA (6th Edition):

Blostein, M. (2016). An Efficient Implementation of a Robust Clustering Algorithm. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20598

Chicago Manual of Style (16th Edition):

Blostein, Martin. “An Efficient Implementation of a Robust Clustering Algorithm.” 2016. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/20598.

MLA Handbook (7th Edition):

Blostein, Martin. “An Efficient Implementation of a Robust Clustering Algorithm.” 2016. Web. 14 Nov 2019.

Vancouver:

Blostein M. An Efficient Implementation of a Robust Clustering Algorithm. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/20598.

Council of Science Editors:

Blostein M. An Efficient Implementation of a Robust Clustering Algorithm. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20598


McMaster University

6. Gallaugher, Michael P.B. On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution.

Degree: MSc, 2016, McMaster University

Recent work on fractionally-supervised classification (FSC), an approach that allows classification to be carried out with a fractional amount of weight given to the unla-… (more)

Subjects/Keywords: Fractionally Supervised Classification; Clustering; Discriminant Analysis; Mixture Models

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APA (6th Edition):

Gallaugher, M. P. B. (2016). On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20738

Chicago Manual of Style (16th Edition):

Gallaugher, Michael P B. “On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution.” 2016. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/20738.

MLA Handbook (7th Edition):

Gallaugher, Michael P B. “On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution.” 2016. Web. 14 Nov 2019.

Vancouver:

Gallaugher MPB. On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/20738.

Council of Science Editors:

Gallaugher MPB. On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20738


McMaster University

7. Matira, Kevin. Discriminant Analysis for Longitudinal Data.

Degree: MSc, 2017, McMaster University

Various approaches for discriminant analysis of longitudinal data are investigated, with some focus on model-based approaches. The latter are typically based on the modi ed… (more)

Subjects/Keywords: mixture models; supervised learning; longitudinal data; classification; statistical learning

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APA (6th Edition):

Matira, K. (2017). Discriminant Analysis for Longitudinal Data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22317

Chicago Manual of Style (16th Edition):

Matira, Kevin. “Discriminant Analysis for Longitudinal Data.” 2017. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/22317.

MLA Handbook (7th Edition):

Matira, Kevin. “Discriminant Analysis for Longitudinal Data.” 2017. Web. 14 Nov 2019.

Vancouver:

Matira K. Discriminant Analysis for Longitudinal Data. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/22317.

Council of Science Editors:

Matira K. Discriminant Analysis for Longitudinal Data. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22317


McMaster University

8. Ellis, Blair K. An analysis of style-types in musical improvisation using clustering methods.

Degree: MSc, 2015, McMaster University

Research on creativity examines both the processes and products of creativity. An important avenue for analyzing creativity is by means of spontaneous improvisation, although there… (more)

Subjects/Keywords: Music classification; improvisation; style analysis; creativity; multiple correspondence analysis; cluster analysis

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APA (6th Edition):

Ellis, B. K. (2015). An analysis of style-types in musical improvisation using clustering methods. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18068

Chicago Manual of Style (16th Edition):

Ellis, Blair K. “An analysis of style-types in musical improvisation using clustering methods.” 2015. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/18068.

MLA Handbook (7th Edition):

Ellis, Blair K. “An analysis of style-types in musical improvisation using clustering methods.” 2015. Web. 14 Nov 2019.

Vancouver:

Ellis BK. An analysis of style-types in musical improvisation using clustering methods. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/18068.

Council of Science Editors:

Ellis BK. An analysis of style-types in musical improvisation using clustering methods. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18068


University of Cape Town

9. Shah, Aliya. Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa.

Degree: MSc, Biological Sciences, 2018, University of Cape Town

 Marine unconsolidated sediments, such as sand, gravel and muds, constitute the most extensive benthic ecosystems globally. Biological data for these ecosystems are frequently sparse which… (more)

Subjects/Keywords: Benthic; Epifauna; South Africa; Ecosystem; Biotopes; National Habitat Classification

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APA (6th Edition):

Shah, A. (2018). Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa. (Masters Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/29715

Chicago Manual of Style (16th Edition):

Shah, Aliya. “Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa.” 2018. Masters Thesis, University of Cape Town. Accessed November 14, 2019. http://hdl.handle.net/11427/29715.

MLA Handbook (7th Edition):

Shah, Aliya. “Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa.” 2018. Web. 14 Nov 2019.

Vancouver:

Shah A. Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa. [Internet] [Masters thesis]. University of Cape Town; 2018. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11427/29715.

Council of Science Editors:

Shah A. Distribution of epifauna in offshore benthic environments along the west and south coast of South Africa. [Masters Thesis]. University of Cape Town; 2018. Available from: http://hdl.handle.net/11427/29715


Stellenbosch University

10. Pauw, Theo. Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands.

Degree: MSc, Geography and Environmental Studies, 2012, Stellenbosch University

ENGLISH ABSTRACT: This research considered the automated remote sensing-based classification of wetland extent within the Nuwejaars and Heuningnes River systems on the Agulhas Plain. The… (more)

Subjects/Keywords: Geography and environmental studies; Wetlands  – South Africa  – Strandveld  – Classification

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APA (6th Edition):

Pauw, T. (2012). Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/71906

Chicago Manual of Style (16th Edition):

Pauw, Theo. “Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands.” 2012. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/71906.

MLA Handbook (7th Edition):

Pauw, Theo. “Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands.” 2012. Web. 14 Nov 2019.

Vancouver:

Pauw T. Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands. [Internet] [Masters thesis]. Stellenbosch University; 2012. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/71906.

Council of Science Editors:

Pauw T. Assessment of SPOT 5 and ERS-2 OBIA for mapping wetlands. [Masters Thesis]. Stellenbosch University; 2012. Available from: http://hdl.handle.net/10019.1/71906


Stellenbosch University

11. Brink, Stefan. Development of an acoustic classification system for predicting rock structural stability.

Degree: MSc, Process Engineering, 2015, Stellenbosch University

ENGLISH ABSTRACT: Rock falls are the cause of the majority of mining-related injuries and fatalities in deep tabular South African mines. The standard process of… (more)

Subjects/Keywords: Acoustic classification system; Rock structural stability; Rock falls  – Detection

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APA (6th Edition):

Brink, S. (2015). Development of an acoustic classification system for predicting rock structural stability. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/96985

Chicago Manual of Style (16th Edition):

Brink, Stefan. “Development of an acoustic classification system for predicting rock structural stability.” 2015. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/96985.

MLA Handbook (7th Edition):

Brink, Stefan. “Development of an acoustic classification system for predicting rock structural stability.” 2015. Web. 14 Nov 2019.

Vancouver:

Brink S. Development of an acoustic classification system for predicting rock structural stability. [Internet] [Masters thesis]. Stellenbosch University; 2015. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/96985.

Council of Science Editors:

Brink S. Development of an acoustic classification system for predicting rock structural stability. [Masters Thesis]. Stellenbosch University; 2015. Available from: http://hdl.handle.net/10019.1/96985


McMaster University

12. Chen, Chih-Kang. Some Ordination and Classification Methods in Plant Ecology.

Degree: MSc, 1976, McMaster University

This project studies the applicability of two ordination methods, principle component analysis and correspondence analysis, and one classification method, mode analysis, for a specific… (more)

Subjects/Keywords: ordination; methods; ecological; classification; plant

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APA (6th Edition):

Chen, C. (1976). Some Ordination and Classification Methods in Plant Ecology. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/17221

Chicago Manual of Style (16th Edition):

Chen, Chih-Kang. “Some Ordination and Classification Methods in Plant Ecology.” 1976. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/17221.

MLA Handbook (7th Edition):

Chen, Chih-Kang. “Some Ordination and Classification Methods in Plant Ecology.” 1976. Web. 14 Nov 2019.

Vancouver:

Chen C. Some Ordination and Classification Methods in Plant Ecology. [Internet] [Masters thesis]. McMaster University; 1976. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/17221.

Council of Science Editors:

Chen C. Some Ordination and Classification Methods in Plant Ecology. [Masters Thesis]. McMaster University; 1976. Available from: http://hdl.handle.net/11375/17221


Stellenbosch University

13. Marais, Jacques Charles. Automated elephant detection and classification from aerial infrared and colour images using deep learning.

Degree: MSc, Mathematical Sciences, 2018, Stellenbosch University

ENGLISH ABSTRACT : In this study we attempt to detect and classify elephants in aerial images using deep learning. This is not a trivial task… (more)

Subjects/Keywords: Neural networks; Computer vision  – Africa; Deep learning; Elephants  – Africa  – Census; UCTD; Image detection; Image classification

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APA (6th Edition):

Marais, J. C. (2018). Automated elephant detection and classification from aerial infrared and colour images using deep learning. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103388

Chicago Manual of Style (16th Edition):

Marais, Jacques Charles. “Automated elephant detection and classification from aerial infrared and colour images using deep learning.” 2018. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/103388.

MLA Handbook (7th Edition):

Marais, Jacques Charles. “Automated elephant detection and classification from aerial infrared and colour images using deep learning.” 2018. Web. 14 Nov 2019.

Vancouver:

Marais JC. Automated elephant detection and classification from aerial infrared and colour images using deep learning. [Internet] [Masters thesis]. Stellenbosch University; 2018. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/103388.

Council of Science Editors:

Marais JC. Automated elephant detection and classification from aerial infrared and colour images using deep learning. [Masters Thesis]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103388


McMaster University

14. Elmassad, Omnya. Predicting Customer Satisfaction from Dental Implants Perception Data.

Degree: MSc, 2013, McMaster University

In recent years, measuring customer satisfaction has become one of the key concerns of market research studies. One of the basic features of leading… (more)

Subjects/Keywords: Customer Satisfaction; Dental Implants; Classification Trees; Regression Trees; PLSR; Market Research; Applied Statistics; Applied Statistics

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APA (6th Edition):

Elmassad, O. (2013). Predicting Customer Satisfaction from Dental Implants Perception Data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/12955

Chicago Manual of Style (16th Edition):

Elmassad, Omnya. “Predicting Customer Satisfaction from Dental Implants Perception Data.” 2013. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/12955.

MLA Handbook (7th Edition):

Elmassad, Omnya. “Predicting Customer Satisfaction from Dental Implants Perception Data.” 2013. Web. 14 Nov 2019.

Vancouver:

Elmassad O. Predicting Customer Satisfaction from Dental Implants Perception Data. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/12955.

Council of Science Editors:

Elmassad O. Predicting Customer Satisfaction from Dental Implants Perception Data. [Masters Thesis]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/12955


McMaster University

15. Nguyen, Linda. Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives.

Degree: MSc, 2017, McMaster University

Children and adolescents with cerebral palsy (CP) often receive botulinum toxin (BoNT-A) to manage spasticity. Our 2014 study developed an inventory of parents’ goals for… (more)

Subjects/Keywords: botulinum toxin A; cerebral palsy; family-centred care; international classification of functioning, disability and health; qualitative research; interpretive description

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APA (6th Edition):

Nguyen, L. (2017). Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22278

Chicago Manual of Style (16th Edition):

Nguyen, Linda. “Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives.” 2017. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/22278.

MLA Handbook (7th Edition):

Nguyen, Linda. “Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives.” 2017. Web. 14 Nov 2019.

Vancouver:

Nguyen L. Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/22278.

Council of Science Editors:

Nguyen L. Effects of Botulinum Toxin Treatment in Non-ambulatory Children and Adolescents with Cerebral Palsy: Understanding Parents’ Perspectives. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22278


Stellenbosch University

16. Swart, Cheruscha. An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline.

Degree: MSc, Botany and Zoology, 2017, Stellenbosch University

 ENGLISH ABSTRACT: Invasions by marine alien species are occurring at an unprecedented rate and are known to negatively impact upon society and biodiversity. Due to… (more)

Subjects/Keywords: Marine alien species; Predatory crabs assessment; Environmental Impact Classification for Alien Taxa (EICAT); Marine crab invasions  – South Africa; UCTD

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APA (6th Edition):

Swart, C. (2017). An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/102602

Chicago Manual of Style (16th Edition):

Swart, Cheruscha. “An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline.” 2017. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/102602.

MLA Handbook (7th Edition):

Swart, Cheruscha. “An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline.” 2017. Web. 14 Nov 2019.

Vancouver:

Swart C. An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline. [Internet] [Masters thesis]. Stellenbosch University; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/102602.

Council of Science Editors:

Swart C. An assessment of invasive predatory marine crabs and the threat they pose along the South African coastline. [Masters Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/102602


Stellenbosch University

17. Oberlander, Kenneth. A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data.

Degree: MSc, Botany and Zoology, 2003, Stellenbosch University

ENGLISH ABSTRACT: The phylogenetic relationships and taxonomic status of South African Oxalis L. species are highly unresolved, both regionally and with regard to precise placement… (more)

Subjects/Keywords: Oxalis  – Cladistic analysis; Oxalis  – Classification; Oxalis  – Phylogeny

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APA (6th Edition):

Oberlander, K. (2003). A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/53251

Chicago Manual of Style (16th Edition):

Oberlander, Kenneth. “A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data.” 2003. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/53251.

MLA Handbook (7th Edition):

Oberlander, Kenneth. “A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data.” 2003. Web. 14 Nov 2019.

Vancouver:

Oberlander K. A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data. [Internet] [Masters thesis]. Stellenbosch University; 2003. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/53251.

Council of Science Editors:

Oberlander K. A molecular phylogenetic assessment of Oxalis L. section Angustatae subsection Lineares using trnL-trnF sequence data. [Masters Thesis]. Stellenbosch University; 2003. Available from: http://hdl.handle.net/10019.1/53251


McMaster University

18. Brennan, Andrew N. Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario.

Degree: MSc, 2011, McMaster University

In 2009, the Regional Municipality of Halton and McMaster University initiated a 2-year collaborative study (Georgetown Aquifer Characterization Study-GACS) of the groundwater resource potential… (more)

Subjects/Keywords: borehole geophysics; buried bedrock valleys; Georgetown Ontario; principal component analysis; hydrostratigraphy; lithologic classification; Geophysics and Seismology; Geophysics and Seismology

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APA (6th Edition):

Brennan, A. N. (2011). Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11320

Chicago Manual of Style (16th Edition):

Brennan, Andrew N. “Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario.” 2011. Masters Thesis, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/11320.

MLA Handbook (7th Edition):

Brennan, Andrew N. “Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario.” 2011. Web. 14 Nov 2019.

Vancouver:

Brennan AN. Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/11320.

Council of Science Editors:

Brennan AN. Characterizing the Quaternary Hydrostratigraphy of Buried Valleys using Multi-Parameter Borehole Geophysics, Georgetown, Ontario. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11320


Stellenbosch University

19. Sedick, Safiyya. Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818.

Degree: MSc, Botany and Zoology, 2018, Stellenbosch University

 ENGLISH ABSTRACT: Syllidae is a common polychaete family in South African coastal environments but have not been the focus of research since the publication of… (more)

Subjects/Keywords: Syllidae  – South AfricaSyllis Lamarck, 1818; Syllis Lamarck, 1818; Syllis armillaris  – Identification; Syllis amica  – Identification; Taxonomy; Biology  – Classification; UCTD

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APA (6th Edition):

Sedick, S. (2018). Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103860

Chicago Manual of Style (16th Edition):

Sedick, Safiyya. “Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818.” 2018. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/103860.

MLA Handbook (7th Edition):

Sedick, Safiyya. “Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818.” 2018. Web. 14 Nov 2019.

Vancouver:

Sedick S. Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818. [Internet] [Masters thesis]. Stellenbosch University; 2018. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/103860.

Council of Science Editors:

Sedick S. Syllidae Grube, 1850 (Annelida) from Southern Africa. A taxonomic update, with a focus on Syllis Lamarck, 1818. [Masters Thesis]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103860


University of Pretoria

20. Straub, Andrea Frances. The vegetation of Breslau Game Farm, Northern Province, South Africa.

Degree: MSc, Plant Science, 2002, University of Pretoria

Please read the abstract (Summary)in the section 08summary of this document Advisors/Committee Members: Bredenkamp, George J. (advisor).

Subjects/Keywords: Vegetation improvement Northern Province RSA; Wildlife habitat improvement Northern Province RSA; Arid regional plants classification; Vegetation classification Northern Province RSA; UCTD

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APA (6th Edition):

Straub, A. (2002). The vegetation of Breslau Game Farm, Northern Province, South Africa. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28596

Chicago Manual of Style (16th Edition):

Straub, Andrea. “The vegetation of Breslau Game Farm, Northern Province, South Africa.” 2002. Masters Thesis, University of Pretoria. Accessed November 14, 2019. http://hdl.handle.net/2263/28596.

MLA Handbook (7th Edition):

Straub, Andrea. “The vegetation of Breslau Game Farm, Northern Province, South Africa.” 2002. Web. 14 Nov 2019.

Vancouver:

Straub A. The vegetation of Breslau Game Farm, Northern Province, South Africa. [Internet] [Masters thesis]. University of Pretoria; 2002. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2263/28596.

Council of Science Editors:

Straub A. The vegetation of Breslau Game Farm, Northern Province, South Africa. [Masters Thesis]. University of Pretoria; 2002. Available from: http://hdl.handle.net/2263/28596


Stellenbosch University

21. Kidane, Dawit K. Rule-based land cover classification model : expert system integration of image and non-image spatial data.

Degree: MSc, Geography and Environmental Studies, 2005, Stellenbosch University

ENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of… (more)

Subjects/Keywords: Vegetation classification  – Data processing; Land use  – Classification  – Data processing; Vegetation mapping  – Data processing; Remote sensing; Expert systems (Computer science)

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APA (6th Edition):

Kidane, D. K. (2005). Rule-based land cover classification model : expert system integration of image and non-image spatial data. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/50445

Chicago Manual of Style (16th Edition):

Kidane, Dawit K. “Rule-based land cover classification model : expert system integration of image and non-image spatial data.” 2005. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/50445.

MLA Handbook (7th Edition):

Kidane, Dawit K. “Rule-based land cover classification model : expert system integration of image and non-image spatial data.” 2005. Web. 14 Nov 2019.

Vancouver:

Kidane DK. Rule-based land cover classification model : expert system integration of image and non-image spatial data. [Internet] [Masters thesis]. Stellenbosch University; 2005. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/50445.

Council of Science Editors:

Kidane DK. Rule-based land cover classification model : expert system integration of image and non-image spatial data. [Masters Thesis]. Stellenbosch University; 2005. Available from: http://hdl.handle.net/10019.1/50445


Stellenbosch University

22. Muller, Sybrand Jacobus. Indirect soil salinity detection in irregated areas using earth observation methods.

Degree: MSc, Geography, 2017, Stellenbosch University

 ENGLISH ABSTRACT: Excessive accumulation of salt in the plant root zone has a deteriorating effect on vegetation growth, resulting in reduced crop yield and rendering… (more)

Subjects/Keywords: Soil salinity; Salinization; Irregated agriculture; Remote sensing; Landsat satellites; Regression analysis; Decision trees  – Analysis; Supervised classification; Machine learning; Geographic object-based image analysis; Landsat 8; UCTD

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APA (6th Edition):

Muller, S. J. (2017). Indirect soil salinity detection in irregated areas using earth observation methods. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/101208

Chicago Manual of Style (16th Edition):

Muller, Sybrand Jacobus. “Indirect soil salinity detection in irregated areas using earth observation methods.” 2017. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/101208.

MLA Handbook (7th Edition):

Muller, Sybrand Jacobus. “Indirect soil salinity detection in irregated areas using earth observation methods.” 2017. Web. 14 Nov 2019.

Vancouver:

Muller SJ. Indirect soil salinity detection in irregated areas using earth observation methods. [Internet] [Masters thesis]. Stellenbosch University; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/101208.

Council of Science Editors:

Muller SJ. Indirect soil salinity detection in irregated areas using earth observation methods. [Masters Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/101208


Stellenbosch University

23. De Villiers, Margaret J. (Margaret Jenifer). Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data.

Degree: MSc, Botany and Zoology, 2004, Stellenbosch University

ENGLISH ABSTRACT: The Cape Floristic Region (CFR) is situated at the southern tip of Africa and possesses a flora that is unique amongst the floras… (more)

Subjects/Keywords: Proteaceae  – South Africa  – Western Cape  – Classification  – Molecular aspects; Nucleotide sequence; Dissertations  – Botany

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APA (6th Edition):

De Villiers, M. J. (. J. (2004). Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/50030

Chicago Manual of Style (16th Edition):

De Villiers, Margaret J (Margaret Jenifer). “Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data.” 2004. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/50030.

MLA Handbook (7th Edition):

De Villiers, Margaret J (Margaret Jenifer). “Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data.” 2004. Web. 14 Nov 2019.

Vancouver:

De Villiers MJ(J. Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data. [Internet] [Masters thesis]. Stellenbosch University; 2004. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/50030.

Council of Science Editors:

De Villiers MJ(J. Molecular systematics of the Western Cape genus Serruria Salisb. (Proteaceae L.) based on DNA sequence data. [Masters Thesis]. Stellenbosch University; 2004. Available from: http://hdl.handle.net/10019.1/50030

24. Verhulp, Julie Katherine. Decision tree development for land cover classification in the Eastern Cape.

Degree: MSc, Geography and Environmental Studies, 2017, Stellenbosch University

ENGLISH ABSTRACT: The purpose of this study was to develop a cost-effective and practical method for producing land cover maps by assessing the efficacy of… (more)

Subjects/Keywords: Land cover; Supervised classification; Decision tree learning; Classification and Regression Tree (CART); Classifier extension; Remote sensing; Jeffries-Matusita Distance; Landsat-8; Learning Classifier Systems; UCTD

…CHAPTER 2 IMAGE CLASSIFICATION ............................................... 16 2.1… …26 2.1.5 Methods of classification… …29 2.1.5.1 Unsupervised classification… …30 2.1.5.2 Supervised classification… …31 2.1.5.4 Object vs. pixel-based classification… 

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APA (6th Edition):

Verhulp, J. K. (2017). Decision tree development for land cover classification in the Eastern Cape. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/101188

Chicago Manual of Style (16th Edition):

Verhulp, Julie Katherine. “Decision tree development for land cover classification in the Eastern Cape.” 2017. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/101188.

MLA Handbook (7th Edition):

Verhulp, Julie Katherine. “Decision tree development for land cover classification in the Eastern Cape.” 2017. Web. 14 Nov 2019.

Vancouver:

Verhulp JK. Decision tree development for land cover classification in the Eastern Cape. [Internet] [Masters thesis]. Stellenbosch University; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/101188.

Council of Science Editors:

Verhulp JK. Decision tree development for land cover classification in the Eastern Cape. [Masters Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/101188


University of Pretoria

25. Strohbach, Marianne Margarethe. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.

Degree: MSc, Plant Science, 2007, University of Pretoria

Please read the abstract in the section 00front of this document Advisors/Committee Members: Prof G J Bredenkamp (advisor).

Subjects/Keywords: Vegetation surveys namibia; Vegetation mapping namibia; Vegetation classification namibia; Satellite image maps namibia; UCTD

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APA (6th Edition):

Strohbach, M. (2007). Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26946

Chicago Manual of Style (16th Edition):

Strohbach, Marianne. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.” 2007. Masters Thesis, University of Pretoria. Accessed November 14, 2019. http://hdl.handle.net/2263/26946.

MLA Handbook (7th Edition):

Strohbach, Marianne. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.” 2007. Web. 14 Nov 2019.

Vancouver:

Strohbach M. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2263/26946.

Council of Science Editors:

Strohbach M. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/26946


University of Pretoria

26. Govender, Natasha. Intonation modelling for the Nguni languages.

Degree: MSc, Computer Science, 2007, University of Pretoria

 Although the complexity of prosody is widely recognised, there is a lack of widely-accepted descriptive standards for prosodic phenomena. This situation has become particularly noticeable… (more)

Subjects/Keywords: Intonation corpus; Intensity; Intonation modelling; Pitch tracking; Autocorrelation; Classification; Tone; Fundamental frequency; Prosody; Nguni languages; UCTD

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APA (6th Edition):

Govender, N. (2007). Intonation modelling for the Nguni languages. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28847

Chicago Manual of Style (16th Edition):

Govender, Natasha. “Intonation modelling for the Nguni languages.” 2007. Masters Thesis, University of Pretoria. Accessed November 14, 2019. http://hdl.handle.net/2263/28847.

MLA Handbook (7th Edition):

Govender, Natasha. “Intonation modelling for the Nguni languages.” 2007. Web. 14 Nov 2019.

Vancouver:

Govender N. Intonation modelling for the Nguni languages. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2263/28847.

Council of Science Editors:

Govender N. Intonation modelling for the Nguni languages. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/28847


University of Pretoria

27. Duminy, Willem Harklaas. A learning framework for zero-knowledge game playing agents.

Degree: MSc, Computer Science, 2007, University of Pretoria

 The subjects of perfect information games, machine learning and computational intelligence combine in an experiment that investigates a method to build the skill of a… (more)

Subjects/Keywords: Knowledge discovery; Game tree searching.; Classification; Computational intelligence; Machine learning; Coevolution; Particle swarm optimization (PSO); Checkers; Knowledge representation; Games; UCTD

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APA (6th Edition):

Duminy, W. (2007). A learning framework for zero-knowledge game playing agents. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28767

Chicago Manual of Style (16th Edition):

Duminy, Willem. “A learning framework for zero-knowledge game playing agents.” 2007. Masters Thesis, University of Pretoria. Accessed November 14, 2019. http://hdl.handle.net/2263/28767.

MLA Handbook (7th Edition):

Duminy, Willem. “A learning framework for zero-knowledge game playing agents.” 2007. Web. 14 Nov 2019.

Vancouver:

Duminy W. A learning framework for zero-knowledge game playing agents. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2263/28767.

Council of Science Editors:

Duminy W. A learning framework for zero-knowledge game playing agents. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/28767

28. Etoughe Kongo, Ulrich Pavlique. Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model.

Degree: MSc, Geography and Environmental Studies, 2015, Stellenbosch University

ENGLISH ABSTRACT: Urban planning and management require up-to-date information about urban land cover. Producing such geospatial information is time consuming as it is usually done… (more)

Subjects/Keywords: GeoEye-1 imagery; LiDar; UCTD; Image processing; Land use, Urban  – South Africa  – Cape Town; Land use, Urban  – South Africa  – Cape Town  – Classification; Land use mapping  – South Africa  – Cape Town; Land use, Urban  – South Africa  – Cape Town  – Remote sensing; Digital surface model

…Stellenbosch University https://scholar.sun.ac.za viii 2.8.2 Rule-based classification… …22 2.8.3 Supervised classification… …44 4.4 CLASSIFICATION METHODS… …45 4.4.1 Supervised classification… …46 Stellenbosch University https://scholar.sun.ac.za ix 4.4.1.4 Classification… 

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APA (6th Edition):

Etoughe Kongo, U. P. (2015). Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/96914

Chicago Manual of Style (16th Edition):

Etoughe Kongo, Ulrich Pavlique. “Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model.” 2015. Masters Thesis, Stellenbosch University. Accessed November 14, 2019. http://hdl.handle.net/10019.1/96914.

MLA Handbook (7th Edition):

Etoughe Kongo, Ulrich Pavlique. “Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model.” 2015. Web. 14 Nov 2019.

Vancouver:

Etoughe Kongo UP. Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model. [Internet] [Masters thesis]. Stellenbosch University; 2015. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10019.1/96914.

Council of Science Editors:

Etoughe Kongo UP. Urban land cover classification from high resolution Geoeye-1 imagery using a lidarbased digital surface model. [Masters Thesis]. Stellenbosch University; 2015. Available from: http://hdl.handle.net/10019.1/96914

.