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You searched for subject:( Linear discriminant analysis). Showing records 1 – 30 of 104245 total matches.

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Penn State University

1. Sanders, Mario Frederick. Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy.

Degree: 2012, Penn State University

 ABSTRACT Malaria is a widespread problem in much of the tropical and sub-tropical regions of the world, where in Africa it accounts for nearly half… (more)

Subjects/Keywords: Linear Discriminant Analysis; Seizure Detection

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APA (6th Edition):

Sanders, M. F. (2012). Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15693

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):

Sanders, Mario Frederick. “Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy.” 2012. Thesis, Penn State University. Accessed January 25, 2021. https://submit-etda.libraries.psu.edu/catalog/15693.

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

MLA Handbook (7th Edition):

Sanders, Mario Frederick. “Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy.” 2012. Web. 25 Jan 2021.

Vancouver:

Sanders MF. Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Jan 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/15693.

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

Council of Science Editors:

Sanders MF. Seizure Detection for Investigation of Cerebral Malaria as a Cause for Epilepsy. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15693

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


AUT University

2. Peng, Yiming. Boosting performance of incremental IDR/QR LDA - from sequential to chunk .

Degree: 2011, AUT University

 Training data in the real world is often presented in random chunks. Yet existing sequential incremental IDR/QR LDA (sIncLDA) can only process data one instance… (more)

Subjects/Keywords: Incremental learning; Chunk; Sequential; Linear Discriminant Analysis

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APA (6th Edition):

Peng, Y. (2011). Boosting performance of incremental IDR/QR LDA - from sequential to chunk . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/2231

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):

Peng, Yiming. “Boosting performance of incremental IDR/QR LDA - from sequential to chunk .” 2011. Thesis, AUT University. Accessed January 25, 2021. http://hdl.handle.net/10292/2231.

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

MLA Handbook (7th Edition):

Peng, Yiming. “Boosting performance of incremental IDR/QR LDA - from sequential to chunk .” 2011. Web. 25 Jan 2021.

Vancouver:

Peng Y. Boosting performance of incremental IDR/QR LDA - from sequential to chunk . [Internet] [Thesis]. AUT University; 2011. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10292/2231.

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

Council of Science Editors:

Peng Y. Boosting performance of incremental IDR/QR LDA - from sequential to chunk . [Thesis]. AUT University; 2011. Available from: http://hdl.handle.net/10292/2231

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

3. Hamal, Tamanna. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.

Degree: MS, Mathematics, 2017, Texas Woman's University

 The purpose of the study is to compare the Discriminant Analysis and Linear Regression Analysis to predict the correlation between alcohol consumption by high school… (more)

Subjects/Keywords: Pure sciences; Analysis; Discriminant; Linear regression; SPSS

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APA (6th Edition):

Hamal, T. (2017). Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. (Masters Thesis). Texas Woman's University. Retrieved from http://hdl.handle.net/11274/9356

Chicago Manual of Style (16th Edition):

Hamal, Tamanna. “Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.” 2017. Masters Thesis, Texas Woman's University. Accessed January 25, 2021. http://hdl.handle.net/11274/9356.

MLA Handbook (7th Edition):

Hamal, Tamanna. “Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.” 2017. Web. 25 Jan 2021.

Vancouver:

Hamal T. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. [Internet] [Masters thesis]. Texas Woman's University; 2017. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/11274/9356.

Council of Science Editors:

Hamal T. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. [Masters Thesis]. Texas Woman's University; 2017. Available from: http://hdl.handle.net/11274/9356


University of New South Wales

4. Paisitkriangkrai , Sakrapee. Robust object detection with efficient features and effective classifiers.

Degree: Computer Science & Engineering, 2011, University of New South Wales

 This thesis contains three main novel contributions that advance the state of the art in object detection. The first contribution focuses on a realtime pedestrian… (more)

Subjects/Keywords: Feature selection; Object detection; AdaBoost; Asymmetry; Greedy sparse linear discriminant analysis; Online linear discriminant analysis

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APA (6th Edition):

Paisitkriangkrai , S. (2011). Robust object detection with efficient features and effective classifiers. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/50894 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9788/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Paisitkriangkrai , Sakrapee. “Robust object detection with efficient features and effective classifiers.” 2011. Doctoral Dissertation, University of New South Wales. Accessed January 25, 2021. http://handle.unsw.edu.au/1959.4/50894 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9788/SOURCE02?view=true.

MLA Handbook (7th Edition):

Paisitkriangkrai , Sakrapee. “Robust object detection with efficient features and effective classifiers.” 2011. Web. 25 Jan 2021.

Vancouver:

Paisitkriangkrai S. Robust object detection with efficient features and effective classifiers. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2021 Jan 25]. Available from: http://handle.unsw.edu.au/1959.4/50894 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9788/SOURCE02?view=true.

Council of Science Editors:

Paisitkriangkrai S. Robust object detection with efficient features and effective classifiers. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/50894 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9788/SOURCE02?view=true

5. Lilian Ribeiro Mendes Paiva. Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear.

Degree: 2012, Federal University of Uberlândia

Aging is directly linked to adverse impacts related to factors that affect the chronological age-related changes such as heredity, environment, diet, lifestyle, and habit of… (more)

Subjects/Keywords: Sinais eletroencefalográficos (EEG); Envelhecimento; Linear discriminant analysis (LDA); ENGENHARIA ELETRICA; Engenharia biomédica; Eletroencefalografia; Aging; Electroencephalographic signals (EEG); Linear discriminant analysis (LDA)

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APA (6th Edition):

Paiva, L. R. M. (2012). Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4284

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):

Paiva, Lilian Ribeiro Mendes. “Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear.” 2012. Thesis, Federal University of Uberlândia. Accessed January 25, 2021. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4284.

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

MLA Handbook (7th Edition):

Paiva, Lilian Ribeiro Mendes. “Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear.” 2012. Web. 25 Jan 2021.

Vancouver:

Paiva LRM. Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear. [Internet] [Thesis]. Federal University of Uberlândia; 2012. [cited 2021 Jan 25]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4284.

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

Council of Science Editors:

Paiva LRM. Caracterização da atividade eletroencefalográfica em diferentes faixas etárias, por meio da análise discriminante linear. [Thesis]. Federal University of Uberlândia; 2012. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4284

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


Brno University of Technology

6. Szentandrási, Tamás. Určení orientace hlavy na fotografii: Head Pose Estimation from Photography.

Degree: 2019, Brno University of Technology

 The aim of this work is to propose and implement a head pose estimation system using Random Forests, with photographic input. This work uses a… (more)

Subjects/Keywords: Určení orientace hlavy; Fisher Linear Discriminant Analysis; Computer Vision; Head pose estimation; Fisher Linear Discriminant Analysis; Computer Vision

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APA (6th Edition):

Szentandrási, T. (2019). Určení orientace hlavy na fotografii: Head Pose Estimation from Photography. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/64107

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):

Szentandrási, Tamás. “Určení orientace hlavy na fotografii: Head Pose Estimation from Photography.” 2019. Thesis, Brno University of Technology. Accessed January 25, 2021. http://hdl.handle.net/11012/64107.

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

MLA Handbook (7th Edition):

Szentandrási, Tamás. “Určení orientace hlavy na fotografii: Head Pose Estimation from Photography.” 2019. Web. 25 Jan 2021.

Vancouver:

Szentandrási T. Určení orientace hlavy na fotografii: Head Pose Estimation from Photography. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/11012/64107.

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

Council of Science Editors:

Szentandrási T. Určení orientace hlavy na fotografii: Head Pose Estimation from Photography. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/64107

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

7. Latha, P. Some studies on soft computing based Techniques for face recognition; -.

Degree: Information and Communication Engineering, 2014, Anna University

Face Recognition is one of the emerging and active research areas newlinein Image processing Pattern recognition and Computer vision Computer newlinevision based face recognition aims… (more)

Subjects/Keywords: Fisher s Linear Discriminant Analysis; Neural Networks; Principal Component Analysis

Page 1

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APA (6th Edition):

Latha, P. (2014). Some studies on soft computing based Techniques for face recognition; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29248

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):

Latha, P. “Some studies on soft computing based Techniques for face recognition; -.” 2014. Thesis, Anna University. Accessed January 25, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/29248.

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

MLA Handbook (7th Edition):

Latha, P. “Some studies on soft computing based Techniques for face recognition; -.” 2014. Web. 25 Jan 2021.

Vancouver:

Latha P. Some studies on soft computing based Techniques for face recognition; -. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Jan 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29248.

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

Council of Science Editors:

Latha P. Some studies on soft computing based Techniques for face recognition; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29248

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

8. Ndwapi, Nkumbuludzi. Robust Discriminant Analysis With Asymmetric Classes.

Degree: PhD, 2018, McMaster University

Discriminant analysis uses labelled observations to infer the labels of unlabelled observations in a population. Despite many advances in unsupervised and, to a lesser extent,… (more)

Subjects/Keywords: Discriminant analysis; mixture discriminant analysis

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Ndwapi, N. (2018). Robust Discriminant Analysis With Asymmetric Classes. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22849

Chicago Manual of Style (16th Edition):

Ndwapi, Nkumbuludzi. “Robust Discriminant Analysis With Asymmetric Classes.” 2018. Doctoral Dissertation, McMaster University. Accessed January 25, 2021. http://hdl.handle.net/11375/22849.

MLA Handbook (7th Edition):

Ndwapi, Nkumbuludzi. “Robust Discriminant Analysis With Asymmetric Classes.” 2018. Web. 25 Jan 2021.

Vancouver:

Ndwapi N. Robust Discriminant Analysis With Asymmetric Classes. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/11375/22849.

Council of Science Editors:

Ndwapi N. Robust Discriminant Analysis With Asymmetric Classes. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/22849


Rice University

9. Dennis, Troy A. EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users.

Degree: MS, Engineering, 2018, Rice University

 Robotic rehabilitation for individuals with spinal cord injury (SCI) has been shown to be most effective when the user is motivated and mentally engaged in… (more)

Subjects/Keywords: Rehabilitation Robots; Electromyography; Linear Discriminant Analysis; Classification Algorithms

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APA (6th Edition):

Dennis, T. A. (2018). EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105710

Chicago Manual of Style (16th Edition):

Dennis, Troy A. “EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users.” 2018. Masters Thesis, Rice University. Accessed January 25, 2021. http://hdl.handle.net/1911/105710.

MLA Handbook (7th Edition):

Dennis, Troy A. “EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users.” 2018. Web. 25 Jan 2021.

Vancouver:

Dennis TA. EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users. [Internet] [Masters thesis]. Rice University; 2018. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/1911/105710.

Council of Science Editors:

Dennis TA. EMG Control of an Upper-Limb Rehabilitation Exoskeleton for SCI Affected Users. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105710

10. Liu, Shuhua. Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process.

Degree: 2018, Yrkeshögskolan Arcada

 In this study we explore AI methods and models for intelligent customer support solutions that could help automatically supervise the support case handling process and… (more)

Subjects/Keywords: artificial intelligence; machine learning; customer services; case studies; linear discriminant analysis

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APA (6th Edition):

Liu, S. (2018). Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process. (Thesis). Yrkeshögskolan Arcada. Retrieved from http://www.theseus.fi/handle/10024/157906

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):

Liu, Shuhua. “Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process.” 2018. Thesis, Yrkeshögskolan Arcada. Accessed January 25, 2021. http://www.theseus.fi/handle/10024/157906.

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

MLA Handbook (7th Edition):

Liu, Shuhua. “Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process.” 2018. Web. 25 Jan 2021.

Vancouver:

Liu S. Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process. [Internet] [Thesis]. Yrkeshögskolan Arcada; 2018. [cited 2021 Jan 25]. Available from: http://www.theseus.fi/handle/10024/157906.

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

Council of Science Editors:

Liu S. Towards Better Customer Experience: Models for Automatic Detection of Potential Misuse or Mistakes in Customer Care Process. [Thesis]. Yrkeshögskolan Arcada; 2018. Available from: http://www.theseus.fi/handle/10024/157906

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


University of Georgia

11. Connally, Mark R. Identifying covariance differences in comparisons of linear versus quadratic classification rule.

Degree: 2014, University of Georgia

 A Monte Carlo study was undertaken comparing the linear and quadratic discriminant functionin classifying individuals in two mulivariate nonmally distributed populations with unequalcovariance matrices. The… (more)

Subjects/Keywords: Discriminant Analysis; Unequal covariance matrices; linear; quadratic; comparison of classification rules

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APA (6th Edition):

Connally, M. R. (2014). Identifying covariance differences in comparisons of linear versus quadratic classification rule. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/22084

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):

Connally, Mark R. “Identifying covariance differences in comparisons of linear versus quadratic classification rule.” 2014. Thesis, University of Georgia. Accessed January 25, 2021. http://hdl.handle.net/10724/22084.

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

MLA Handbook (7th Edition):

Connally, Mark R. “Identifying covariance differences in comparisons of linear versus quadratic classification rule.” 2014. Web. 25 Jan 2021.

Vancouver:

Connally MR. Identifying covariance differences in comparisons of linear versus quadratic classification rule. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10724/22084.

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

Council of Science Editors:

Connally MR. Identifying covariance differences in comparisons of linear versus quadratic classification rule. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/22084

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

12. Stoudenmire, Eugene A. Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods.

Degree: PhD, Modeling Simul & Visual Engineering, 2013, Old Dominion University

  This study investigates the thesis that given cerebral response samples of an individual's left, right, both, and imagined finger tapping, continuous wave (CW) functional… (more)

Subjects/Keywords: Support vector machine; Linear discriminant analysis; Biomedical Engineering and Bioengineering; Neurosciences

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APA (6th Edition):

Stoudenmire, E. A. (2013). Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781303775109 ; https://digitalcommons.odu.edu/msve_etds/39

Chicago Manual of Style (16th Edition):

Stoudenmire, Eugene A. “Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods.” 2013. Doctoral Dissertation, Old Dominion University. Accessed January 25, 2021. 9781303775109 ; https://digitalcommons.odu.edu/msve_etds/39.

MLA Handbook (7th Edition):

Stoudenmire, Eugene A. “Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods.” 2013. Web. 25 Jan 2021.

Vancouver:

Stoudenmire EA. Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods. [Internet] [Doctoral dissertation]. Old Dominion University; 2013. [cited 2021 Jan 25]. Available from: 9781303775109 ; https://digitalcommons.odu.edu/msve_etds/39.

Council of Science Editors:

Stoudenmire EA. Functional Near Infrared Detection of Real and Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, and Decision Tree Classification Methods. [Doctoral Dissertation]. Old Dominion University; 2013. Available from: 9781303775109 ; https://digitalcommons.odu.edu/msve_etds/39

13. Lacordaire Kemel Pimenta Cury. Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias.

Degree: 2011, Federal University of Uberlândia

Uma das características do envelhecimento humano é a perda de massa muscular e óssea, o que prejudica a qualidade de vida e aumenta a possibilidade… (more)

Subjects/Keywords: Eletromiografia; Acelerometria; Análise Discriminante linear; ENGENHARIA ELETRICA; Envelhecimento; Eletromiografia; Ageing; Electromyography, accelerometry; Linear discriminant analysis

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APA (6th Edition):

Cury, L. K. P. (2011). Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=3718

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):

Cury, Lacordaire Kemel Pimenta. “Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias.” 2011. Thesis, Federal University of Uberlândia. Accessed January 25, 2021. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=3718.

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

MLA Handbook (7th Edition):

Cury, Lacordaire Kemel Pimenta. “Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias.” 2011. Web. 25 Jan 2021.

Vancouver:

Cury LKP. Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias. [Internet] [Thesis]. Federal University of Uberlândia; 2011. [cited 2021 Jan 25]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=3718.

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

Council of Science Editors:

Cury LKP. Análise da correlação dos sinais eletromiográficos e da acelerometria do tremor fisiológico em diferentes faixas etárias. [Thesis]. Federal University of Uberlândia; 2011. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=3718

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


University of Ottawa

14. Azarmehr, Ramin. Real-time Embedded Age and Gender Classification in Unconstrained Video .

Degree: 2015, University of Ottawa

 Recently, automatic demographic classification has found its way into embedded applications such as targeted advertising in mobile devices, and in-car warning systems for elderly drivers.… (more)

Subjects/Keywords: Support Vector Machine; Linear Discriminant Analysis; Principal Component Analysis; Local Binary Patterns

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APA (6th Edition):

Azarmehr, R. (2015). Real-time Embedded Age and Gender Classification in Unconstrained Video . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32463

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):

Azarmehr, Ramin. “Real-time Embedded Age and Gender Classification in Unconstrained Video .” 2015. Thesis, University of Ottawa. Accessed January 25, 2021. http://hdl.handle.net/10393/32463.

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

MLA Handbook (7th Edition):

Azarmehr, Ramin. “Real-time Embedded Age and Gender Classification in Unconstrained Video .” 2015. Web. 25 Jan 2021.

Vancouver:

Azarmehr R. Real-time Embedded Age and Gender Classification in Unconstrained Video . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10393/32463.

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

Council of Science Editors:

Azarmehr R. Real-time Embedded Age and Gender Classification in Unconstrained Video . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32463

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


Brandeis University

15. Xie, Yuchen. Classification of neural activation to face trustworthiness.

Degree: 2019, Brandeis University

 Judgment of face trustworthiness is an important social ability. In this study, we used linear discriminant analysis (LDA) and support vector machine (SVM) to classify… (more)

Subjects/Keywords: face trustworthiness; support vector machine; linear discriminant analysis; principle component analysis; fMRI

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

APA (6th Edition):

Xie, Y. (2019). Classification of neural activation to face trustworthiness. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/36556

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):

Xie, Yuchen. “Classification of neural activation to face trustworthiness.” 2019. Thesis, Brandeis University. Accessed January 25, 2021. http://hdl.handle.net/10192/36556.

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

MLA Handbook (7th Edition):

Xie, Yuchen. “Classification of neural activation to face trustworthiness.” 2019. Web. 25 Jan 2021.

Vancouver:

Xie Y. Classification of neural activation to face trustworthiness. [Internet] [Thesis]. Brandeis University; 2019. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10192/36556.

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

Council of Science Editors:

Xie Y. Classification of neural activation to face trustworthiness. [Thesis]. Brandeis University; 2019. Available from: http://hdl.handle.net/10192/36556

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

16. Ξενή, Μαρία. Λογιστική παλινδρόμηση & διαχωριστική ανάλυση.

Degree: 2012, University of Patras

Σε αυτή την εργασία ασχοληθήκαμε με δύο μεθόδους, που σκοπός τους είναι να κατατάσσουν τις παρατηρήσεις σε γνωστές ομάδες και στη συνέχεια να κάνουν προβλέψεις… (more)

Subjects/Keywords: Διαχωριστική ανάλυση; Λογιστική παλινδρόμηση; Μη γραμμικά μοντέλα; 519.53; Discriminant analysis; Logistic regression; Non linear models

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APA (6th Edition):

Ξενή, . (2012). Λογιστική παλινδρόμηση & διαχωριστική ανάλυση. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/5174

Chicago Manual of Style (16th Edition):

Ξενή, Μαρία. “Λογιστική παλινδρόμηση & διαχωριστική ανάλυση.” 2012. Masters Thesis, University of Patras. Accessed January 25, 2021. http://hdl.handle.net/10889/5174.

MLA Handbook (7th Edition):

Ξενή, Μαρία. “Λογιστική παλινδρόμηση & διαχωριστική ανάλυση.” 2012. Web. 25 Jan 2021.

Vancouver:

Ξενή . Λογιστική παλινδρόμηση & διαχωριστική ανάλυση. [Internet] [Masters thesis]. University of Patras; 2012. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10889/5174.

Council of Science Editors:

Ξενή . Λογιστική παλινδρόμηση & διαχωριστική ανάλυση. [Masters Thesis]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5174


University of KwaZulu-Natal

17. Mngadi, Mthembeni. Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa.

Degree: 2018, University of KwaZulu-Natal

 Discriminating forest species is critical for generating accurate and reliable information necessary for sustainable management and monitoring of forests. Remote sensing has recently become a… (more)

Subjects/Keywords: Forest species discrimination.; Cross validation.; Linear discriminant analysis.; Synthetic aperture radar.; Polarization.; Spatial resolution.

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

APA (6th Edition):

Mngadi, M. (2018). Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/17502

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):

Mngadi, Mthembeni. “Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa.” 2018. Thesis, University of KwaZulu-Natal. Accessed January 25, 2021. https://researchspace.ukzn.ac.za/handle/10413/17502.

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

MLA Handbook (7th Edition):

Mngadi, Mthembeni. “Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa.” 2018. Web. 25 Jan 2021.

Vancouver:

Mngadi M. Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2021 Jan 25]. Available from: https://researchspace.ukzn.ac.za/handle/10413/17502.

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

Council of Science Editors:

Mngadi M. Commercial forest species discrimination and mapping using cost effective multispectral remote sensing in midlands region of KwaZulu-Natal province, South Africa. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/17502

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


New Jersey Institute of Technology

18. Chen, Shuo. Eye detection using discriminatory features and an efficient support vector machine.

Degree: PhD, Computer Science, 2013, New Jersey Institute of Technology

  Accurate and efficient eye detection has broad applications in computer vision, machine learning, and pattern recognition. This dissertation presents a number of accurate and… (more)

Subjects/Keywords: Eye detection; Support vector machine; Principal component analysis; Fisher linear discriminant; Face recognition; Computer Sciences

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

APA (6th Edition):

Chen, S. (2013). Eye detection using discriminatory features and an efficient support vector machine. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/341

Chicago Manual of Style (16th Edition):

Chen, Shuo. “Eye detection using discriminatory features and an efficient support vector machine.” 2013. Doctoral Dissertation, New Jersey Institute of Technology. Accessed January 25, 2021. https://digitalcommons.njit.edu/dissertations/341.

MLA Handbook (7th Edition):

Chen, Shuo. “Eye detection using discriminatory features and an efficient support vector machine.” 2013. Web. 25 Jan 2021.

Vancouver:

Chen S. Eye detection using discriminatory features and an efficient support vector machine. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2013. [cited 2021 Jan 25]. Available from: https://digitalcommons.njit.edu/dissertations/341.

Council of Science Editors:

Chen S. Eye detection using discriminatory features and an efficient support vector machine. [Doctoral Dissertation]. New Jersey Institute of Technology; 2013. Available from: https://digitalcommons.njit.edu/dissertations/341


University of Toronto

19. Mahanta, Mohammad Shahin. Unified Framework for Matrix-Variate Linear Discriminant Analysis.

Degree: PhD, 2015, University of Toronto

 The linear discriminant analysis (LDA) is a feature extractor used in classification of high-dimensional data in a wide range of applications. In the classification of… (more)

Subjects/Keywords: 2DLDA; face recognition; feature extraction; Kronecker separability; linear discriminant analysis; matrix-variate data; 0544

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APA (6th Edition):

Mahanta, M. S. (2015). Unified Framework for Matrix-Variate Linear Discriminant Analysis. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/71605

Chicago Manual of Style (16th Edition):

Mahanta, Mohammad Shahin. “Unified Framework for Matrix-Variate Linear Discriminant Analysis.” 2015. Doctoral Dissertation, University of Toronto. Accessed January 25, 2021. http://hdl.handle.net/1807/71605.

MLA Handbook (7th Edition):

Mahanta, Mohammad Shahin. “Unified Framework for Matrix-Variate Linear Discriminant Analysis.” 2015. Web. 25 Jan 2021.

Vancouver:

Mahanta MS. Unified Framework for Matrix-Variate Linear Discriminant Analysis. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/1807/71605.

Council of Science Editors:

Mahanta MS. Unified Framework for Matrix-Variate Linear Discriminant Analysis. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/71605


University of Southern California

20. Sheng, Lingyan. Novel algorithms for large scale supervised and one class learning.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Supervised learning is the machine learning task of inferring a function from labeled training data. There have been numerous algorithms proposed for supervised learning, such… (more)

Subjects/Keywords: supervised learning; one class learning; linear discriminant analysis; graph; Nyströ; m approximation

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

APA (6th Edition):

Sheng, L. (2013). Novel algorithms for large scale supervised and one class learning. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4466

Chicago Manual of Style (16th Edition):

Sheng, Lingyan. “Novel algorithms for large scale supervised and one class learning.” 2013. Doctoral Dissertation, University of Southern California. Accessed January 25, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4466.

MLA Handbook (7th Edition):

Sheng, Lingyan. “Novel algorithms for large scale supervised and one class learning.” 2013. Web. 25 Jan 2021.

Vancouver:

Sheng L. Novel algorithms for large scale supervised and one class learning. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Jan 25]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4466.

Council of Science Editors:

Sheng L. Novel algorithms for large scale supervised and one class learning. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4466


University of Texas – Austin

21. -4934-3157. Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility.

Degree: PhD, Pharmaceutical Sciences, 2018, University of Texas – Austin

 The overarching goal of this dissertation project is to characterize the ultrasonic vocalization profiles associated with sex differences and predisposition for alcohol consumption in rodents.… (more)

Subjects/Keywords: Animal models; Alcoholism biomarker; Predictive analytics; Linear discriminant analysis; Long-evans rats; Selectively bred rats

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

APA (6th Edition):

-4934-3157. (2018). Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63384

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4934-3157. “Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 25, 2021. http://hdl.handle.net/2152/63384.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4934-3157. “Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility.” 2018. Web. 25 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4934-3157. Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/2152/63384.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4934-3157. Modeling ultrasonic vocalization profiles as predictive biomarkers for alcohol consumption susceptibility. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63384

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


KTH

22. Åman, Agnes. Predicting consultation durations in a digital primary care setting.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The aim of this thesis is to develop a method to predict consultation durations in a digital primary care setting and thereby create a… (more)

Subjects/Keywords: neural networks; machine learning; primary care; linear regression; linear discriminant analysis; consultation duration; digital primary care; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Åman, A. (2018). Predicting consultation durations in a digital primary care setting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921

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):

Åman, Agnes. “Predicting consultation durations in a digital primary care setting.” 2018. Thesis, KTH. Accessed January 25, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921.

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

MLA Handbook (7th Edition):

Åman, Agnes. “Predicting consultation durations in a digital primary care setting.” 2018. Web. 25 Jan 2021.

Vancouver:

Åman A. Predicting consultation durations in a digital primary care setting. [Internet] [Thesis]. KTH; 2018. [cited 2021 Jan 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921.

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

Council of Science Editors:

Åman A. Predicting consultation durations in a digital primary care setting. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921

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


University of Texas – Austin

23. Higginbotham, Kevin Richard. Identification of variables contributing to group differences in descriptive discriminant analysis.

Degree: MA, Educational Psychology, 2014, University of Texas – Austin

 The identification of predictor variables that meaningfully contribute to group differences in Descriptive Discriminant Analysis (DDA) has had conflicting guidance in the historical quantitative psychological… (more)

Subjects/Keywords: Descriptive Discriminant Analysis

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

APA (6th Edition):

Higginbotham, K. R. (2014). Identification of variables contributing to group differences in descriptive discriminant analysis. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26222

Chicago Manual of Style (16th Edition):

Higginbotham, Kevin Richard. “Identification of variables contributing to group differences in descriptive discriminant analysis.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 25, 2021. http://hdl.handle.net/2152/26222.

MLA Handbook (7th Edition):

Higginbotham, Kevin Richard. “Identification of variables contributing to group differences in descriptive discriminant analysis.” 2014. Web. 25 Jan 2021.

Vancouver:

Higginbotham KR. Identification of variables contributing to group differences in descriptive discriminant analysis. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/2152/26222.

Council of Science Editors:

Higginbotham KR. Identification of variables contributing to group differences in descriptive discriminant analysis. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26222


University of Manchester

24. Elnady, Maged Elsaid. On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines.

Degree: 2013, University of Manchester

 The healthy condition of a rotating machine leads to safe and cheap operation of almost all industrial facilities and mechanical systems. To achieve such a… (more)

Subjects/Keywords: Rotating machines; Condition monitoring; Rotor dynamics analysis; Faults diagnosis; Vibration measurement; MEMS accelerometer; Principal component analysis; Linear discriminant analysis

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

APA (6th Edition):

Elnady, M. E. (2013). On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186865

Chicago Manual of Style (16th Edition):

Elnady, Maged Elsaid. “On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines.” 2013. Doctoral Dissertation, University of Manchester. Accessed January 25, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186865.

MLA Handbook (7th Edition):

Elnady, Maged Elsaid. “On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines.” 2013. Web. 25 Jan 2021.

Vancouver:

Elnady ME. On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2021 Jan 25]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186865.

Council of Science Editors:

Elnady ME. On-Shaft Vibration Measurement Using a MEMS Accelerometer for Faults Diagnosis in Rotating Machines. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186865


University of Manchester

25. Elnady, Maged Elsaid. On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines.

Degree: PhD, 2013, University of Manchester

 The healthy condition of a rotating machine leads to safe and cheap operation of almost all industrial facilities and mechanical systems. To achieve such a… (more)

Subjects/Keywords: 621.381; Rotating machines; Condition monitoring; Rotor dynamics analysis; Faults diagnosis; Vibration measurement; MEMS accelerometer; Principal component analysis; Linear discriminant analysis

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

APA (6th Edition):

Elnady, M. E. (2013). On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/onshaft-vibration-measurement-using-a-mems-accelerometer-for-faults-diagnosis-in-rotating-machines(cf9b9848-972d-49ff-a6b0-97bef1ad0e93).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647358

Chicago Manual of Style (16th Edition):

Elnady, Maged Elsaid. “On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines.” 2013. Doctoral Dissertation, University of Manchester. Accessed January 25, 2021. https://www.research.manchester.ac.uk/portal/en/theses/onshaft-vibration-measurement-using-a-mems-accelerometer-for-faults-diagnosis-in-rotating-machines(cf9b9848-972d-49ff-a6b0-97bef1ad0e93).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647358.

MLA Handbook (7th Edition):

Elnady, Maged Elsaid. “On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines.” 2013. Web. 25 Jan 2021.

Vancouver:

Elnady ME. On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2021 Jan 25]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/onshaft-vibration-measurement-using-a-mems-accelerometer-for-faults-diagnosis-in-rotating-machines(cf9b9848-972d-49ff-a6b0-97bef1ad0e93).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647358.

Council of Science Editors:

Elnady ME. On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/onshaft-vibration-measurement-using-a-mems-accelerometer-for-faults-diagnosis-in-rotating-machines(cf9b9848-972d-49ff-a6b0-97bef1ad0e93).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647358


University of Washington

26. Ekin, Bradley Robert. Optimized Decoding for Auditory Attention Detection.

Degree: 2016, University of Washington

 The method of stimulus reconstruction has shown to be an effective tool for detecting a listener's attentional focus in a multi-talker environment. Using electroencephalography (EEG),… (more)

Subjects/Keywords: auditory attention detection; canonical correlation analysis; linear discriminant analysis; stimulus reconstruction; Electrical engineering; Biomedical engineering; electrical engineering

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APA (6th Edition):

Ekin, B. R. (2016). Optimized Decoding for Auditory Attention Detection. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/36612

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):

Ekin, Bradley Robert. “Optimized Decoding for Auditory Attention Detection.” 2016. Thesis, University of Washington. Accessed January 25, 2021. http://hdl.handle.net/1773/36612.

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

MLA Handbook (7th Edition):

Ekin, Bradley Robert. “Optimized Decoding for Auditory Attention Detection.” 2016. Web. 25 Jan 2021.

Vancouver:

Ekin BR. Optimized Decoding for Auditory Attention Detection. [Internet] [Thesis]. University of Washington; 2016. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/1773/36612.

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

Council of Science Editors:

Ekin BR. Optimized Decoding for Auditory Attention Detection. [Thesis]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36612

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

27. Vega, Jordan Jasso. A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri.

Degree: MSin Geospatial Sciences, Geography, Geology, and Planning, 2020, Missouri State University

  The Big Four Springs region hosts four major first-order magnitude springs in southern Missouri and northern Arkansas. These springs are Big Spring (Carter County,… (more)

Subjects/Keywords: karst; springs; geochemistry; groundwater; water quality; linear discriminant function analysis; Applied Statistics; Environmental Monitoring; Geology; Hydrology; Multivariate Analysis; Statistical Models

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

APA (6th Edition):

Vega, J. J. (2020). A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3558

Chicago Manual of Style (16th Edition):

Vega, Jordan Jasso. “A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri.” 2020. Masters Thesis, Missouri State University. Accessed January 25, 2021. https://bearworks.missouristate.edu/theses/3558.

MLA Handbook (7th Edition):

Vega, Jordan Jasso. “A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri.” 2020. Web. 25 Jan 2021.

Vancouver:

Vega JJ. A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri. [Internet] [Masters thesis]. Missouri State University; 2020. [cited 2021 Jan 25]. Available from: https://bearworks.missouristate.edu/theses/3558.

Council of Science Editors:

Vega JJ. A Geochemical and Statistical Investigation of the Big Four Springs Region in Southern Missouri. [Masters Thesis]. Missouri State University; 2020. Available from: https://bearworks.missouristate.edu/theses/3558


University of Kentucky

28. Gooch, Steven R. A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS.

Degree: 2014, University of Kentucky

 While all mammals sleep, the functions and implications of sleep are not well understood, and are a strong area of investigation in the research community.… (more)

Subjects/Keywords: Classification; Mice; Behavior Analysis; Linear Discriminant Analysis; Noninvasive Data Acquisition; Biomedical Engineering and Bioengineering; Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Gooch, S. R. (2014). A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS. (Masters Thesis). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/56

Chicago Manual of Style (16th Edition):

Gooch, Steven R. “A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS.” 2014. Masters Thesis, University of Kentucky. Accessed January 25, 2021. https://uknowledge.uky.edu/ece_etds/56.

MLA Handbook (7th Edition):

Gooch, Steven R. “A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS.” 2014. Web. 25 Jan 2021.

Vancouver:

Gooch SR. A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS. [Internet] [Masters thesis]. University of Kentucky; 2014. [cited 2021 Jan 25]. Available from: https://uknowledge.uky.edu/ece_etds/56.

Council of Science Editors:

Gooch SR. A METHOD FOR NON-INVASIVE, AUTOMATED BEHAVIOR CLASSIFICATION IN MICE, USING PIEZOELECTRIC PRESSURE SENSORS. [Masters Thesis]. University of Kentucky; 2014. Available from: https://uknowledge.uky.edu/ece_etds/56


University of Otago

29. Winter, Margaret Shirley Anne. Classification of Gravel Component Lake Beaches in the South Island, New Zealand .

Degree: 2013, University of Otago

 Lake beaches with a gravel component (sediments > 2 mm in b-axis diameter) have received very little attention in the coastal geomorphology literature. This research… (more)

Subjects/Keywords: Lake; Beach; New Zealand; Linear discriminant analysis; ACES; Hindcast; Morphodynamic model; Gravel beach; Mixed sand and gravel

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APA (6th Edition):

Winter, M. S. A. (2013). Classification of Gravel Component Lake Beaches in the South Island, New Zealand . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/3850

Chicago Manual of Style (16th Edition):

Winter, Margaret Shirley Anne. “Classification of Gravel Component Lake Beaches in the South Island, New Zealand .” 2013. Masters Thesis, University of Otago. Accessed January 25, 2021. http://hdl.handle.net/10523/3850.

MLA Handbook (7th Edition):

Winter, Margaret Shirley Anne. “Classification of Gravel Component Lake Beaches in the South Island, New Zealand .” 2013. Web. 25 Jan 2021.

Vancouver:

Winter MSA. Classification of Gravel Component Lake Beaches in the South Island, New Zealand . [Internet] [Masters thesis]. University of Otago; 2013. [cited 2021 Jan 25]. Available from: http://hdl.handle.net/10523/3850.

Council of Science Editors:

Winter MSA. Classification of Gravel Component Lake Beaches in the South Island, New Zealand . [Masters Thesis]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/3850

30. Polat, Cahit. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions.

Degree: PhD, Quantitative Research Methods, 2018, U of Denver

  Logistic Regression (LR), Linear Discriminant Analysis (LDA), and Classification and Regression Trees (CART) are common classification techniques for prediction of group membership. Since these… (more)

Subjects/Keywords: Classification; Classification and regression trees; Group membership; Linear discriminant analysis; Logistic regression; Simulation; Social and Behavioral Sciences; Social Statistics

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

APA (6th Edition):

Polat, C. (2018). Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1503

Chicago Manual of Style (16th Edition):

Polat, Cahit. “Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions.” 2018. Doctoral Dissertation, U of Denver. Accessed January 25, 2021. https://digitalcommons.du.edu/etd/1503.

MLA Handbook (7th Edition):

Polat, Cahit. “Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions.” 2018. Web. 25 Jan 2021.

Vancouver:

Polat C. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions. [Internet] [Doctoral dissertation]. U of Denver; 2018. [cited 2021 Jan 25]. Available from: https://digitalcommons.du.edu/etd/1503.

Council of Science Editors:

Polat C. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions. [Doctoral Dissertation]. U of Denver; 2018. Available from: https://digitalcommons.du.edu/etd/1503

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