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You searched for subject:(KNN). Showing records 1 – 30 of 119 total matches.

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NSYSU

1. Lin, Dong-Jian. Protein Contact Prediction Based on Protein Sequences.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 The biological function of a protein is mainly maintained by its three-dimensional structure. Protein folds support the three-dimensional structure of a protein, and then the… (more)

Subjects/Keywords: prediction; Contact; SVM; KNN; PDA

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APA (6th Edition):

Lin, D. (2011). Protein Contact Prediction Based on Protein Sequences. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445

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):

Lin, Dong-Jian. “Protein Contact Prediction Based on Protein Sequences.” 2011. Thesis, NSYSU. Accessed August 14, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445.

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

MLA Handbook (7th Edition):

Lin, Dong-Jian. “Protein Contact Prediction Based on Protein Sequences.” 2011. Web. 14 Aug 2020.

Vancouver:

Lin D. Protein Contact Prediction Based on Protein Sequences. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Aug 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445.

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

Council of Science Editors:

Lin D. Protein Contact Prediction Based on Protein Sequences. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445

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


Virginia Tech

2. Gupta, Shashaank. High Performance Lead – free Piezoelectric Materials.

Degree: PhD, Materials Science and Engineering, 2013, Virginia Tech

 Piezoelectric materials find applications in number of devices requiring inter-conversion of mechanical and electrical energy.  These devices include different types of sensors, actuators and energy… (more)

Subjects/Keywords: KNN; Ferroelectric; Piezoelectric; Lead free

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APA (6th Edition):

Gupta, S. (2013). High Performance Lead – free Piezoelectric Materials. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50959

Chicago Manual of Style (16th Edition):

Gupta, Shashaank. “High Performance Lead – free Piezoelectric Materials.” 2013. Doctoral Dissertation, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/50959.

MLA Handbook (7th Edition):

Gupta, Shashaank. “High Performance Lead – free Piezoelectric Materials.” 2013. Web. 14 Aug 2020.

Vancouver:

Gupta S. High Performance Lead – free Piezoelectric Materials. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/50959.

Council of Science Editors:

Gupta S. High Performance Lead – free Piezoelectric Materials. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50959


University of New South Wales

3. Li, Mingyu. HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING.

Degree: Materials Science & Engineering, 2016, University of New South Wales

 Piezoelectric materials are smart materials widely used in the fields of information and communications, industrial automation, medical diagnostics and so on. However, lead-based piezoelectric materials… (more)

Subjects/Keywords: SPS; Piezoelectric ceramic; KNN

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APA (6th Edition):

Li, M. (2016). HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57196 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42783/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Li, Mingyu. “HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING.” 2016. Masters Thesis, University of New South Wales. Accessed August 14, 2020. http://handle.unsw.edu.au/1959.4/57196 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42783/SOURCE02?view=true.

MLA Handbook (7th Edition):

Li, Mingyu. “HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING.” 2016. Web. 14 Aug 2020.

Vancouver:

Li M. HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING. [Internet] [Masters thesis]. University of New South Wales; 2016. [cited 2020 Aug 14]. Available from: http://handle.unsw.edu.au/1959.4/57196 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42783/SOURCE02?view=true.

Council of Science Editors:

Li M. HIGHLY DENSE (K, Na)NbO3-BASED LEAD-FREE PIEZOELECTRIC CERAMICS FABRICATED BY SPARK PLASMA SINTERING. [Masters Thesis]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/57196 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42783/SOURCE02?view=true


University of Akron

4. Selvaraja, Sudarshan. Microarray Data Analysis Tool (MAT).

Degree: MS, Computer Science, 2008, University of Akron

 Microarray is a technology that has been widely used by the biologists to probe the presence of genes in a sample of DNA or RNA.… (more)

Subjects/Keywords: Bioinformatics; Computer Science; MAT; Microarray; Data Mining; microRNA; kNN; Weighted kNN

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

APA (6th Edition):

Selvaraja, S. (2008). Microarray Data Analysis Tool (MAT). (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1227467806

Chicago Manual of Style (16th Edition):

Selvaraja, Sudarshan. “Microarray Data Analysis Tool (MAT).” 2008. Masters Thesis, University of Akron. Accessed August 14, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1227467806.

MLA Handbook (7th Edition):

Selvaraja, Sudarshan. “Microarray Data Analysis Tool (MAT).” 2008. Web. 14 Aug 2020.

Vancouver:

Selvaraja S. Microarray Data Analysis Tool (MAT). [Internet] [Masters thesis]. University of Akron; 2008. [cited 2020 Aug 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1227467806.

Council of Science Editors:

Selvaraja S. Microarray Data Analysis Tool (MAT). [Masters Thesis]. University of Akron; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1227467806


University of Ottawa

5. Al-Kabbany, Ahmed. Graphical Methods for Image Compositing and Completion .

Degree: 2016, University of Ottawa

 This thesis is concerned with problems encountered in image-based rendering (IBR) systems. The significance of such systems is increasing as virtual reality as well as… (more)

Subjects/Keywords: segmentation; matting; transduction; KNN; optimization; completion; graphcuts

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APA (6th Edition):

Al-Kabbany, A. (2016). Graphical Methods for Image Compositing and Completion . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35071

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

Chicago Manual of Style (16th Edition):

Al-Kabbany, Ahmed. “Graphical Methods for Image Compositing and Completion .” 2016. Thesis, University of Ottawa. Accessed August 14, 2020. http://hdl.handle.net/10393/35071.

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

MLA Handbook (7th Edition):

Al-Kabbany, Ahmed. “Graphical Methods for Image Compositing and Completion .” 2016. Web. 14 Aug 2020.

Vancouver:

Al-Kabbany A. Graphical Methods for Image Compositing and Completion . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10393/35071.

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

Council of Science Editors:

Al-Kabbany A. Graphical Methods for Image Compositing and Completion . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/35071

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

6. Paudyal, Santosh. Classification Of Rotating Machinery Fault Using Vibration Signal.

Degree: MS, Mechanical Engineering, 2019, University of North Dakota

  Rotating machinery are critical instruments in the manufacturing sectors that are continually operated to fulfill their productivity objective. To reduce the risk of catastrophic… (more)

Subjects/Keywords: Fuzzy Logic; KNN; Phase Plane; Vibration Analysis

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

APA (6th Edition):

Paudyal, S. (2019). Classification Of Rotating Machinery Fault Using Vibration Signal. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2579

Chicago Manual of Style (16th Edition):

Paudyal, Santosh. “Classification Of Rotating Machinery Fault Using Vibration Signal.” 2019. Masters Thesis, University of North Dakota. Accessed August 14, 2020. https://commons.und.edu/theses/2579.

MLA Handbook (7th Edition):

Paudyal, Santosh. “Classification Of Rotating Machinery Fault Using Vibration Signal.” 2019. Web. 14 Aug 2020.

Vancouver:

Paudyal S. Classification Of Rotating Machinery Fault Using Vibration Signal. [Internet] [Masters thesis]. University of North Dakota; 2019. [cited 2020 Aug 14]. Available from: https://commons.und.edu/theses/2579.

Council of Science Editors:

Paudyal S. Classification Of Rotating Machinery Fault Using Vibration Signal. [Masters Thesis]. University of North Dakota; 2019. Available from: https://commons.und.edu/theses/2579


Linköping University

7. Samuelsson, Johanna. Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA.

Degree: Medical and Health Sciences, 2011, Linköping University

  Liver biopsy is a very common, but invasive procedure for diagnosing liver disease. However, such a biopsy may result in severe complications and in… (more)

Subjects/Keywords: k-means; kNN; IFT; model; pharmacokinetics

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APA (6th Edition):

Samuelsson, J. (2011). Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71121

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):

Samuelsson, Johanna. “Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA.” 2011. Thesis, Linköping University. Accessed August 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71121.

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

MLA Handbook (7th Edition):

Samuelsson, Johanna. “Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA.” 2011. Web. 14 Aug 2020.

Vancouver:

Samuelsson J. Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Aug 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71121.

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

Council of Science Editors:

Samuelsson J. Visualization of Regional Liver Function with Hepatobiliary Contrast Agent Gd-EOB-DTPA. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71121

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

8. Salvador, Jaime. Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos .

Degree: 2019, University of Alicante

 El algoritmo de clasificación kNN (k-nearest neighbors) es uno de los métodos de clasificación no paramétrico más utilizados, sin embargo, está limitado debido al consumo… (more)

Subjects/Keywords: Big Data; Aprendizaje automático; Compresión; BLAS; KNN

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APA (6th Edition):

Salvador, J. (2019). Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos . (Thesis). University of Alicante. Retrieved from http://hdl.handle.net/10045/95548

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):

Salvador, Jaime. “Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos .” 2019. Thesis, University of Alicante. Accessed August 14, 2020. http://hdl.handle.net/10045/95548.

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

MLA Handbook (7th Edition):

Salvador, Jaime. “Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos .” 2019. Web. 14 Aug 2020.

Vancouver:

Salvador J. Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos . [Internet] [Thesis]. University of Alicante; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10045/95548.

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

Council of Science Editors:

Salvador J. Optimización y Procesamiento Inteligente de Grandes Volúmenes de Datos Categóricos . [Thesis]. University of Alicante; 2019. Available from: http://hdl.handle.net/10045/95548

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

9. Kuhlman, Caitlin Anne. Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining.

Degree: MS, 2017, Worcester Polytechnic Institute

  This thesis addresses the need for a scalable distributed solution for k-nearest-neighbor (kNN) search, a fundamental data mining task. This unsupervised method poses particular… (more)

Subjects/Keywords: distributed computing; kNN Search; data Mining

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APA (6th Edition):

Kuhlman, C. A. (2017). Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-012017-145041 ; https://digitalcommons.wpi.edu/etd-theses/1218

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):

Kuhlman, Caitlin Anne. “Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining.” 2017. Thesis, Worcester Polytechnic Institute. Accessed August 14, 2020. etd-012017-145041 ; https://digitalcommons.wpi.edu/etd-theses/1218.

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

MLA Handbook (7th Edition):

Kuhlman, Caitlin Anne. “Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining.” 2017. Web. 14 Aug 2020.

Vancouver:

Kuhlman CA. Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining. [Internet] [Thesis]. Worcester Polytechnic Institute; 2017. [cited 2020 Aug 14]. Available from: etd-012017-145041 ; https://digitalcommons.wpi.edu/etd-theses/1218.

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

Council of Science Editors:

Kuhlman CA. Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining. [Thesis]. Worcester Polytechnic Institute; 2017. Available from: etd-012017-145041 ; https://digitalcommons.wpi.edu/etd-theses/1218

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


Lithuanian University of Agriculture

10. Jonikavičius, Donatas. Forest inventory improvement based on satellite images.

Degree: PhD, Forestry, 2012, Lithuanian University of Agriculture

The aim of the study – improvement of on-going in Lithuania forest inventories based on satellite images and GIS databases. Specific objective of the study… (more)

Subjects/Keywords: Forest inventory; KNN method; Satellite images; Miškų inventorizacija; KNN metodas; Kosminiai vaizdai

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APA (6th Edition):

Jonikavičius, D. (2012). Forest inventory improvement based on satellite images. (Doctoral Dissertation). Lithuanian University of Agriculture. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113102-15265 ;

Chicago Manual of Style (16th Edition):

Jonikavičius, Donatas. “Forest inventory improvement based on satellite images.” 2012. Doctoral Dissertation, Lithuanian University of Agriculture. Accessed August 14, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113102-15265 ;.

MLA Handbook (7th Edition):

Jonikavičius, Donatas. “Forest inventory improvement based on satellite images.” 2012. Web. 14 Aug 2020.

Vancouver:

Jonikavičius D. Forest inventory improvement based on satellite images. [Internet] [Doctoral dissertation]. Lithuanian University of Agriculture; 2012. [cited 2020 Aug 14]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113102-15265 ;.

Council of Science Editors:

Jonikavičius D. Forest inventory improvement based on satellite images. [Doctoral Dissertation]. Lithuanian University of Agriculture; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113102-15265 ;

11. Ruas, Olivier. The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN.

Degree: Docteur es, Informatique, 2018, Rennes 1

La quantité incroyable de contenu disponible dans les services en ligne rend le contenu intéressant incroyablement difficile à trouver. La manière la plus emblématique d’aider… (more)

Subjects/Keywords: Graphe KNN; Apprentissage; Base de données; Recommandations; KNN graph; Machine learning; Database; Recommendations

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APA (6th Edition):

Ruas, O. (2018). The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2018REN1S088

Chicago Manual of Style (16th Edition):

Ruas, Olivier. “The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN.” 2018. Doctoral Dissertation, Rennes 1. Accessed August 14, 2020. http://www.theses.fr/2018REN1S088.

MLA Handbook (7th Edition):

Ruas, Olivier. “The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN.” 2018. Web. 14 Aug 2020.

Vancouver:

Ruas O. The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN. [Internet] [Doctoral dissertation]. Rennes 1; 2018. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2018REN1S088.

Council of Science Editors:

Ruas O. The many faces of approximation in KNN graph computation : Les multiples facettes des approximations dans la construction de graphes KN. [Doctoral Dissertation]. Rennes 1; 2018. Available from: http://www.theses.fr/2018REN1S088


Kennesaw State University

12. Japa, Arialdis. KNN Optimization for Multi-Dimensional Data.

Degree: MSCS, Computer Science, 2019, Kennesaw State University

  The K-Nearest Neighbors (KNN) algorithm is a simple but powerful technique used in the field of data analytics. It uses a distance metric to… (more)

Subjects/Keywords: KNN; Bounded KNN; Vector Space Model; Apache Spark; Computer and Systems Architecture

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APA (6th Edition):

Japa, A. (2019). KNN Optimization for Multi-Dimensional Data. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/25

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):

Japa, Arialdis. “KNN Optimization for Multi-Dimensional Data.” 2019. Thesis, Kennesaw State University. Accessed August 14, 2020. https://digitalcommons.kennesaw.edu/cs_etd/25.

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

MLA Handbook (7th Edition):

Japa, Arialdis. “KNN Optimization for Multi-Dimensional Data.” 2019. Web. 14 Aug 2020.

Vancouver:

Japa A. KNN Optimization for Multi-Dimensional Data. [Internet] [Thesis]. Kennesaw State University; 2019. [cited 2020 Aug 14]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/25.

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

Council of Science Editors:

Japa A. KNN Optimization for Multi-Dimensional Data. [Thesis]. Kennesaw State University; 2019. Available from: https://digitalcommons.kennesaw.edu/cs_etd/25

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

13. Jannayna Domingues Barros. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética.

Degree: 2010, Universidade Federal do Rio Grande do Norte

Este trabalho propõe um método baseado na teoria das ondas eletromagnéticas refletidas para avaliar o comportamento dessas ondas e o nível de atenuação provocada no… (more)

Subjects/Keywords: Antenas de microfita; Osteoporose; Processamento de sinais; Wavelet; RNA; KNN; ENGENHARIAS; Microstrip antennas; Osteoporosis; Signal processing; Wavelet; RNA; KNN

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APA (6th Edition):

Barros, J. D. (2010). Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética. (Thesis). Universidade Federal do Rio Grande do Norte. Retrieved from http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=4007

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):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética.” 2010. Thesis, Universidade Federal do Rio Grande do Norte. Accessed August 14, 2020. http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=4007.

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

MLA Handbook (7th Edition):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética.” 2010. Web. 14 Aug 2020.

Vancouver:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética. [Internet] [Thesis]. Universidade Federal do Rio Grande do Norte; 2010. [cited 2020 Aug 14]. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=4007.

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

Council of Science Editors:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética. [Thesis]. Universidade Federal do Rio Grande do Norte; 2010. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=4007

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


Universidade do Rio Grande do Norte

14. Barros, Jannayna Domingues. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .

Degree: 2010, Universidade do Rio Grande do Norte

 This paper proposes a method based on the theory of electromagnetic waves reflected to evaluate the behavior of these waves and the level of attenuation… (more)

Subjects/Keywords: Antenas de microfita; Osteoporose; Processamento de sinais; Wavelet; RNA; KNN; Microstrip antennas; Osteoporosis; Signal processing; Wavelet; RNA; KNN

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

APA (6th Edition):

Barros, J. D. (2010). Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/15330

Chicago Manual of Style (16th Edition):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .” 2010. Masters Thesis, Universidade do Rio Grande do Norte. Accessed August 14, 2020. http://repositorio.ufrn.br/handle/123456789/15330.

MLA Handbook (7th Edition):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .” 2010. Web. 14 Aug 2020.

Vancouver:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2010. [cited 2020 Aug 14]. Available from: http://repositorio.ufrn.br/handle/123456789/15330.

Council of Science Editors:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . [Masters Thesis]. Universidade do Rio Grande do Norte; 2010. Available from: http://repositorio.ufrn.br/handle/123456789/15330

15. Do, Cao Tri. Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification.

Degree: Docteur es, Mathématiques et Informatique, 2016, Grenoble Alpes

La définition d'une métrique entre des séries temporelles est un élément important pour de nombreuses tâches en analyse ou en fouille de données, tel que… (more)

Subjects/Keywords: Apprentissage statistique; Séries temporelles; Apprentissage de métrique; Classification; Svm; Knn; Machine Learning; Time Series; Metric learning; Classification; Svm; Knn; 004; 510

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

APA (6th Edition):

Do, C. T. (2016). Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2016GREAM028

Chicago Manual of Style (16th Edition):

Do, Cao Tri. “Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification.” 2016. Doctoral Dissertation, Grenoble Alpes. Accessed August 14, 2020. http://www.theses.fr/2016GREAM028.

MLA Handbook (7th Edition):

Do, Cao Tri. “Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification.” 2016. Web. 14 Aug 2020.

Vancouver:

Do CT. Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2016. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2016GREAM028.

Council of Science Editors:

Do CT. Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins : Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification. [Doctoral Dissertation]. Grenoble Alpes; 2016. Available from: http://www.theses.fr/2016GREAM028


Universidade do Rio Grande do Norte

16. Barros, Jannayna Domingues. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .

Degree: 2010, Universidade do Rio Grande do Norte

 This paper proposes a method based on the theory of electromagnetic waves reflected to evaluate the behavior of these waves and the level of attenuation… (more)

Subjects/Keywords: Antenas de microfita; Osteoporose; Processamento de sinais; Wavelet; RNA; KNN; Microstrip antennas; Osteoporosis; Signal processing; Wavelet; RNA; KNN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Barros, J. D. (2010). Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/15330

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):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .” 2010. Thesis, Universidade do Rio Grande do Norte. Accessed August 14, 2020. http://repositorio.ufrn.br/handle/123456789/15330.

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

MLA Handbook (7th Edition):

Barros, Jannayna Domingues. “Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética .” 2010. Web. 14 Aug 2020.

Vancouver:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2010. [cited 2020 Aug 14]. Available from: http://repositorio.ufrn.br/handle/123456789/15330.

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

Council of Science Editors:

Barros JD. Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética . [Thesis]. Universidade do Rio Grande do Norte; 2010. Available from: http://repositorio.ufrn.br/handle/123456789/15330

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


Brno University of Technology

17. Vaňková, Klára. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.

Degree: 2020, Brno University of Technology

 The goal of this master's thesis is to design and implement a system for recognition of home appliances based on their power consumption characteristics. This… (more)

Subjects/Keywords: Elektroměr; Domácí spotřebič; Odběrová charakteristika; Raspberry Pi; HMM; KNN; Electrometer; Home appliance; Power consumption characteristic; Raspberry Pi; HMM; KNN

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

APA (6th Edition):

Vaňková, K. (2020). Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189627

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):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2020. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/189627.

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

MLA Handbook (7th Edition):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2020. Web. 14 Aug 2020.

Vancouver:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/189627.

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

Council of Science Editors:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189627

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

18. Bel Haj Ali, Wafa. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.

Degree: Docteur es, Informatique, 2013, Nice

La classification des images est aujourd'hui un défi d'une grande ampleur puisque ça concerne d’un côté les millions voir des milliards d'images qui se trouvent… (more)

Subjects/Keywords: Apprentissage supervisé; Classification des images; KNN; Classification linéaire; Fonctions de coût; Supervised learning; Image classification; KNN; Linear classifier; Loss functions

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

APA (6th Edition):

Bel Haj Ali, W. (2013). Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2013NICE4079

Chicago Manual of Style (16th Edition):

Bel Haj Ali, Wafa. “Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.” 2013. Doctoral Dissertation, Nice. Accessed August 14, 2020. http://www.theses.fr/2013NICE4079.

MLA Handbook (7th Edition):

Bel Haj Ali, Wafa. “Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.” 2013. Web. 14 Aug 2020.

Vancouver:

Bel Haj Ali W. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. [Internet] [Doctoral dissertation]. Nice; 2013. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2013NICE4079.

Council of Science Editors:

Bel Haj Ali W. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. [Doctoral Dissertation]. Nice; 2013. Available from: http://www.theses.fr/2013NICE4079


University of Technology, Sydney

19. Liu, C. Coupled similarity analysis in supervised learning.

Degree: 2015, University of Technology, Sydney

 In supervised learning, the distance or similarity measure is widely used in a lot of classification algorithms. When calculating the categorical data similarity, the strategy… (more)

Subjects/Keywords: Supervised learning.; Categorical data similarity.; Coupled similarity analysis.; Coupled fuzzy kNN.; Intra-coupled relationship.; Inter-coupled relationship.; kNN algorithm.

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

APA (6th Edition):

Liu, C. (2015). Coupled similarity analysis in supervised learning. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/39161

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, C. “Coupled similarity analysis in supervised learning.” 2015. Thesis, University of Technology, Sydney. Accessed August 14, 2020. http://hdl.handle.net/10453/39161.

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

MLA Handbook (7th Edition):

Liu, C. “Coupled similarity analysis in supervised learning.” 2015. Web. 14 Aug 2020.

Vancouver:

Liu C. Coupled similarity analysis in supervised learning. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10453/39161.

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

Council of Science Editors:

Liu C. Coupled similarity analysis in supervised learning. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/39161

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


Brno University of Technology

20. Vaňková, Klára. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.

Degree: 2018, Brno University of Technology

 The goal of this master's thesis is to design and implement a system for recognition of home appliances based on their power consumption characteristics. This… (more)

Subjects/Keywords: Elektroměr; Domácí spotřebič; Odběrová charakteristika; Raspberry Pi; HMM; KNN ; Electrometer; Home appliance; Power consumption characteristic; Raspberry Pi; HMM; KNN 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vaňková, K. (2018). Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52323

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):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/52323.

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

MLA Handbook (7th Edition):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2018. Web. 14 Aug 2020.

Vancouver:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/52323.

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

Council of Science Editors:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/52323

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


Brno University of Technology

21. Vaňková, Klára. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.

Degree: 2020, Brno University of Technology

 The goal of this master's thesis is to design and implement a system for recognition of home appliances based on their power consumption characteristics. This… (more)

Subjects/Keywords: Elektroměr; Domácí spotřebič; Odběrová charakteristika; Raspberry Pi; HMM; KNN; Electrometer; Home appliance; Power consumption characteristic; Raspberry Pi; HMM; KNN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vaňková, K. (2020). Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188820

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):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2020. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/188820.

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

MLA Handbook (7th Edition):

Vaňková, Klára. “Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics.” 2020. Web. 14 Aug 2020.

Vancouver:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/188820.

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

Council of Science Editors:

Vaňková K. Rozpoznávání domácích spotřebičů na základě jejich odběrové charakteristiky: Recognition of Home Appliances Based on Their Power Consumption Characteristics. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188820

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


Brno University of Technology

22. Vrba, Václav. Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal.

Degree: 2018, Brno University of Technology

 The master thesis is divided into two parts theoretical and practical. The theoretical part is focused on methods of analysis and detection of speech signals.… (more)

Subjects/Keywords: KWD; MFCC; LPCC; DTW; KNN; HMM; Matlab; HTK; KWD; MFCC; LPCC; DTW; KNN; HMM; Matlab; HTK

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

APA (6th Edition):

Vrba, V. (2018). Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/32968

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):

Vrba, Václav. “Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/32968.

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

MLA Handbook (7th Edition):

Vrba, Václav. “Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal.” 2018. Web. 14 Aug 2020.

Vancouver:

Vrba V. Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/32968.

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

Council of Science Editors:

Vrba V. Robustní detekce klíčových slov v řečovém signálu: Robust detection of keywords in speech signal. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/32968

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


Texas A&M University

23. Lee, Joohyung. Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 In this study, the clinical potential of the endogenous multispectral Fluorescence lifetime imaging microscopy (FLIM) was investigated to objectively detect oral cancer. To this end,… (more)

Subjects/Keywords: Film; Fluorescence Lifetime Imaging Microscopy; Supervised Machine Learning; KNN

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

APA (6th Edition):

Lee, J. (2014). Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153669

Chicago Manual of Style (16th Edition):

Lee, Joohyung. “Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy.” 2014. Masters Thesis, Texas A&M University. Accessed August 14, 2020. http://hdl.handle.net/1969.1/153669.

MLA Handbook (7th Edition):

Lee, Joohyung. “Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy.” 2014. Web. 14 Aug 2020.

Vancouver:

Lee J. Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1969.1/153669.

Council of Science Editors:

Lee J. Supervised Machine Learning Algorithms for Early Detection of Oral Epithelial Cancer Using Fluorescence Lifetime Imaging Microscopy. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153669

24. SANTOS, Maria de Jesus Lessa. Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico .

Degree: 2014, Universidade Federal de Pernambuco

 Neste trabalho foram investigadas as composições dos voláteis a partir de mangas da cultivar Tommy Atkins expostas à radiação gama na dose de 0,5 kGy… (more)

Subjects/Keywords: Manga; Irradiação gama; Metabolômica; GC-MS; PLS-DA; KNN

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

APA (6th Edition):

SANTOS, M. d. J. L. (2014). Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/12433

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):

SANTOS, Maria de Jesus Lessa. “Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico .” 2014. Thesis, Universidade Federal de Pernambuco. Accessed August 14, 2020. http://repositorio.ufpe.br/handle/123456789/12433.

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

MLA Handbook (7th Edition):

SANTOS, Maria de Jesus Lessa. “Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico .” 2014. Web. 14 Aug 2020.

Vancouver:

SANTOS MdJL. Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2014. [cited 2020 Aug 14]. Available from: http://repositorio.ufpe.br/handle/123456789/12433.

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

Council of Science Editors:

SANTOS MdJL. Classificação de mangas Tommy Atkins y-irradiadas: Um modelo metabolômico . [Thesis]. Universidade Federal de Pernambuco; 2014. Available from: http://repositorio.ufpe.br/handle/123456789/12433

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


Virginia Tech

25. Barrows, Bryan Alan. A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 This thesis presents the development and implementation of a machine learning prediction model for concurrently aggregating interval linear step distance predictions before future foot placement.… (more)

Subjects/Keywords: Exoskeletons; gait analysis; wearable robotics; machine learning; KNN

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

APA (6th Edition):

Barrows, B. A. (2018). A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82329

Chicago Manual of Style (16th Edition):

Barrows, Bryan Alan. “A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors.” 2018. Masters Thesis, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/82329.

MLA Handbook (7th Edition):

Barrows, Bryan Alan. “A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors.” 2018. Web. 14 Aug 2020.

Vancouver:

Barrows BA. A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/82329.

Council of Science Editors:

Barrows BA. A Machine Learning Approach for Next Step Prediction in Walking using On-Body Inertial Measurement Sensors. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82329

26. Oliveira, João Carlos Fidalgo Pinho. Imputação em datasets médicos: uma comparação entre três métodos .

Degree: 2018, Universidade de Aveiro

 Nos dias de hoje existe um grande volume de dados disponíveis e inúmeros algoritmos que permitem analisar estes conjuntos. No entanto, a maioria dos algoritmos… (more)

Subjects/Keywords: Valores omissos; Análise de dados; Imputação; MICE; kNN; MissForest; Regressão; Classificação

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

APA (6th Edition):

Oliveira, J. C. F. P. (2018). Imputação em datasets médicos: uma comparação entre três métodos . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/26428

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):

Oliveira, João Carlos Fidalgo Pinho. “Imputação em datasets médicos: uma comparação entre três métodos .” 2018. Thesis, Universidade de Aveiro. Accessed August 14, 2020. http://hdl.handle.net/10773/26428.

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

MLA Handbook (7th Edition):

Oliveira, João Carlos Fidalgo Pinho. “Imputação em datasets médicos: uma comparação entre três métodos .” 2018. Web. 14 Aug 2020.

Vancouver:

Oliveira JCFP. Imputação em datasets médicos: uma comparação entre três métodos . [Internet] [Thesis]. Universidade de Aveiro; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10773/26428.

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

Council of Science Editors:

Oliveira JCFP. Imputação em datasets médicos: uma comparação entre três métodos . [Thesis]. Universidade de Aveiro; 2018. Available from: http://hdl.handle.net/10773/26428

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


University of Texas – Austin

27. Yu, Mengjie. Breast cancer prediction using machine learning algorithm.

Degree: MSin Statistics, Statistics, 2017, University of Texas – Austin

 Breast cancer, mostly occurring in women, is the mostly frequently diagnosed cancer. Early detection based on phenotype and genotype features can greatly increases the chances… (more)

Subjects/Keywords: Breast cancer; Machine learning; KNN; SVM: Logistic regression; Naive Bayes

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

APA (6th Edition):

Yu, M. (2017). Breast cancer prediction using machine learning algorithm. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62802

Chicago Manual of Style (16th Edition):

Yu, Mengjie. “Breast cancer prediction using machine learning algorithm.” 2017. Masters Thesis, University of Texas – Austin. Accessed August 14, 2020. http://hdl.handle.net/2152/62802.

MLA Handbook (7th Edition):

Yu, Mengjie. “Breast cancer prediction using machine learning algorithm.” 2017. Web. 14 Aug 2020.

Vancouver:

Yu M. Breast cancer prediction using machine learning algorithm. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2152/62802.

Council of Science Editors:

Yu M. Breast cancer prediction using machine learning algorithm. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62802


Virginia Tech

28. Lopez Marcano, Juan L. Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms.

Degree: MS, Electrical Engineering, 2016, Virginia Tech

 As of 2016, diagnosis of ADHD in the US is controversial. Diagnosis of ADHD is based on subjective observations, and treatment is usually done through… (more)

Subjects/Keywords: EEG; ADHD; Classification; Machine Learning; KNN; SVM; GMM; Autoregressive Coefficients

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

APA (6th Edition):

Lopez Marcano, J. L. (2016). Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73688

Chicago Manual of Style (16th Edition):

Lopez Marcano, Juan L. “Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms.” 2016. Masters Thesis, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/73688.

MLA Handbook (7th Edition):

Lopez Marcano, Juan L. “Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms.” 2016. Web. 14 Aug 2020.

Vancouver:

Lopez Marcano JL. Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/73688.

Council of Science Editors:

Lopez Marcano JL. Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73688

29. Khan, Imran Qayyum. Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods.

Degree: Computer Engineering, 2009, Dalarna University

  The main purpose of this thesis project is to prediction of symptom severity and cause in data from test battery of the Parkinson’s disease… (more)

Subjects/Keywords: Naïve Bayes; CART; KNN

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

APA (6th Edition):

Khan, I. Q. (2009). Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-4586

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):

Khan, Imran Qayyum. “Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods.” 2009. Thesis, Dalarna University. Accessed August 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4586.

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

MLA Handbook (7th Edition):

Khan, Imran Qayyum. “Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods.” 2009. Web. 14 Aug 2020.

Vancouver:

Khan IQ. Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods. [Internet] [Thesis]. Dalarna University; 2009. [cited 2020 Aug 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4586.

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

Council of Science Editors:

Khan IQ. Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods. [Thesis]. Dalarna University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4586

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


Rochester Institute of Technology

30. Hernandez Juarez, Sara. Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices.

Degree: MS, Industrial and Systems Engineering, 2019, Rochester Institute of Technology

  In this work, KNNL was sintered as a lead-free alternative to PZT using a pulsed photonic sintering method. The KNNL post-sintering composition remained close… (more)

Subjects/Keywords: Additive manufacturing; Energy efficiency; KNN; Photonic sintering; Piezoelectric; Printing

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

APA (6th Edition):

Hernandez Juarez, S. (2019). Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10279

Chicago Manual of Style (16th Edition):

Hernandez Juarez, Sara. “Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed August 14, 2020. https://scholarworks.rit.edu/theses/10279.

MLA Handbook (7th Edition):

Hernandez Juarez, Sara. “Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices.” 2019. Web. 14 Aug 2020.

Vancouver:

Hernandez Juarez S. Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2020 Aug 14]. Available from: https://scholarworks.rit.edu/theses/10279.

Council of Science Editors:

Hernandez Juarez S. Pulsed Photonic Sintering of Lithium Doped Potassium Sodium Niobate (KNN) for Flexible Energy Harvesting Devices. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10279

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