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You searched for subject:(klasifikace). Showing records 1 – 30 of 495 total matches.

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1. Komžík Josef. Využití jádrových funkcí při klasifikaci .

Degree: 2014, Czech University of Technology

 Tato práce se zabývá klasifikací dat s využitím jádrových funkcí. Ke klasifikaci budou použity tři základní typy jádrových funkcí, tedy lineární, polynomiální a RBF. Jedním… (more)

Subjects/Keywords: klasifikace; jádrové funkce; SVM; MATLAB

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

APA (6th Edition):

Josef, K. (2014). Využití jádrových funkcí při klasifikaci . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/58876

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):

Josef, Komžík. “Využití jádrových funkcí při klasifikaci .” 2014. Thesis, Czech University of Technology. Accessed January 17, 2021. http://hdl.handle.net/10467/58876.

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

MLA Handbook (7th Edition):

Josef, Komžík. “Využití jádrových funkcí při klasifikaci .” 2014. Web. 17 Jan 2021.

Vancouver:

Josef K. Využití jádrových funkcí při klasifikaci . [Internet] [Thesis]. Czech University of Technology; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10467/58876.

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

Council of Science Editors:

Josef K. Využití jádrových funkcí při klasifikaci . [Thesis]. Czech University of Technology; 2014. Available from: http://hdl.handle.net/10467/58876

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


Brno University of Technology

2. Uchytil, Albert. Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks.

Degree: 2019, Brno University of Technology

 A lot of information is carried in sound. The amount of audio data is increasing with a growing technical level of the society. With more… (more)

Subjects/Keywords: Rozpoznávání zvuku; Klasifikace audia; Neuronové sítě; Klasifikace fonémů; Sound recognition; Audio classification; Neural Networks; Phoneme classification

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

APA (6th Edition):

Uchytil, A. (2019). Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62158

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):

Uchytil, Albert. “Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/62158.

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

MLA Handbook (7th Edition):

Uchytil, Albert. “Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks.” 2019. Web. 17 Jan 2021.

Vancouver:

Uchytil A. Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/62158.

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

Council of Science Editors:

Uchytil A. Recognition of Audio Events Using Deep Neural Networks: Recognition of Audio Events Using Deep Neural Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/62158

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


Brno University of Technology

3. Faron, Jan. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.

Degree: 2018, Brno University of Technology

 This bachelor’s thesis deals with packet classification in computer networks. In the introduction it describes some areas where packet classification is used. Then, necessary theoretical… (more)

Subjects/Keywords: klasifikace paketů; efficuts; klasifikační algoritmus; packet classification; efficuts; classification algorithm

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

APA (6th Edition):

Faron, J. (2018). Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54953

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):

Faron, Jan. “Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/54953.

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

MLA Handbook (7th Edition):

Faron, Jan. “Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks.” 2018. Web. 17 Jan 2021.

Vancouver:

Faron J. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/54953.

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

Council of Science Editors:

Faron J. Filtrování paketů v počítačových sítích: Packet Filtering in Computer Networks. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54953

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


Brno University of Technology

4. Foukal, Martin. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.

Degree: 2018, Brno University of Technology

 This work deals with the packet classification algorithms for traffic filtering in computer networks. It contains summary of different areas where packet classification is used.… (more)

Subjects/Keywords: klasifikace paketů; filtrování; firewally; algoritmy; packet classification; filtering; firewalls; algorithms

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

APA (6th Edition):

Foukal, M. (2018). Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55305

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):

Foukal, Martin. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55305.

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

MLA Handbook (7th Edition):

Foukal, Martin. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2018. Web. 17 Jan 2021.

Vancouver:

Foukal M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55305.

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

Council of Science Editors:

Foukal M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/55305

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


Brno University of Technology

5. Vraštiak, Pavel. Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic.

Degree: 2018, Brno University of Technology

This master thesis is written in collaboration with NIC.CZ company. It describes basic principles of DNS system and properties of DNS traffic. It's goal an implementation of DNS anomaly classifier and its evaluation in practice. Advisors/Committee Members: Matoušek, Petr (advisor), Slaný, Karel (referee).

Subjects/Keywords: Anomálie; DNS; klasifikace; náhodný les; Anomaly; DNS; classification; random forest

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

APA (6th Edition):

Vraštiak, P. (2018). Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53649

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):

Vraštiak, Pavel. “Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/53649.

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

MLA Handbook (7th Edition):

Vraštiak, Pavel. “Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic.” 2018. Web. 17 Jan 2021.

Vancouver:

Vraštiak P. Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/53649.

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

Council of Science Editors:

Vraštiak P. Hledání anomálií v DNS provozu: Anomaly Detection in DNS Traffic. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53649

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


Brno University of Technology

6. Hudec, Vladimír. Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data.

Degree: 2019, Brno University of Technology

 This paper discusses about the data obtained from gene chips and methods of their analysis. Analyzes some methods for analyzing these data and focus on… (more)

Subjects/Keywords: microarray; Random Forests; klasifikace; microarray; Random Forests; classification

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

APA (6th Edition):

Hudec, V. (2019). Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54125

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):

Hudec, Vladimír. “Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/54125.

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

MLA Handbook (7th Edition):

Hudec, Vladimír. “Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data.” 2019. Web. 17 Jan 2021.

Vancouver:

Hudec V. Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/54125.

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

Council of Science Editors:

Hudec V. Klasifikační metody pro data z mikročipů: Classification Methods for Micriarrays Data. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54125

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


Brno University of Technology

7. Puš, Viktor. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with packet classification in computer networks. The problem of packet classification is described, together with requirements for classification algorithm. Then, necessary… (more)

Subjects/Keywords: Klasifikace paketů; algoritmus; hardware; Packet classification; algorithm; hardware

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

APA (6th Edition):

Puš, V. (2019). Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53252

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):

Puš, Viktor. “Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/53252.

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

MLA Handbook (7th Edition):

Puš, Viktor. “Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology.” 2019. Web. 17 Jan 2021.

Vancouver:

Puš V. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/53252.

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

Council of Science Editors:

Puš V. Klasifikace paketů s využitím technologie FPGA: Packet Classification Using FPGA Technology. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53252

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


Brno University of Technology

8. Rozinek, Michal. Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data.

Degree: 2019, Brno University of Technology

 The goal of this study is to learn about methods in object classification in medicine and find out what are these methods about. Focusing on… (more)

Subjects/Keywords: Klasifikace; biomedicína; shlukování; testování; Classification; biomedicine; clustering; testing

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

APA (6th Edition):

Rozinek, M. (2019). Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/11850

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):

Rozinek, Michal. “Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/11850.

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

MLA Handbook (7th Edition):

Rozinek, Michal. “Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data.” 2019. Web. 17 Jan 2021.

Vancouver:

Rozinek M. Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/11850.

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

Council of Science Editors:

Rozinek M. Aplikace shlukové analýzy při zpracování biomedicínských dat: Application of clustering methods for processing of biomedical data. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/11850

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

9. Palas Jiří. Automatizovaná analýza částic v mikroskopických snímcích .

Degree: Czech University of Technology

 Tato práce se zabývá automatizací analýzy nanočástic v mikroskopických snímcích. Hlavním cílem je návrh a implementace software zameřeného na automatizovanou analýzu nanočástic v mikroskopických snímcích.… (more)

Subjects/Keywords: nanočástice; segmentace; klasifikace; mikroskopie

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

APA (6th Edition):

Jiří, P. (n.d.). Automatizovaná analýza částic v mikroskopických snímcích . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/61589

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

Chicago Manual of Style (16th Edition):

Jiří, Palas. “Automatizovaná analýza částic v mikroskopických snímcích .” Thesis, Czech University of Technology. Accessed January 17, 2021. http://hdl.handle.net/10467/61589.

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

MLA Handbook (7th Edition):

Jiří, Palas. “Automatizovaná analýza částic v mikroskopických snímcích .” Web. 17 Jan 2021.

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

Vancouver:

Jiří P. Automatizovaná analýza částic v mikroskopických snímcích . [Internet] [Thesis]. Czech University of Technology; [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10467/61589.

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

Council of Science Editors:

Jiří P. Automatizovaná analýza částic v mikroskopických snímcích . [Thesis]. Czech University of Technology; Available from: http://hdl.handle.net/10467/61589

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

10. Strnad Václav. Klasifikace pohybu na základě nasnímaných pohybových dat .

Degree: Czech University of Technology

 Prostudujte známé metodiky klasifikace pohybu a navrhněte vlastní způsob identifikace vybrané škály pohybů v sekvenci dat na vstupu. Při návrhu se inspirujte článkem, který je… (more)

Subjects/Keywords: klasifikace pohybu; C++; rozpoznání pohybu

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

APA (6th Edition):

Václav, S. (n.d.). Klasifikace pohybu na základě nasnímaných pohybových dat . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/62701

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

Chicago Manual of Style (16th Edition):

Václav, Strnad. “Klasifikace pohybu na základě nasnímaných pohybových dat .” Thesis, Czech University of Technology. Accessed January 17, 2021. http://hdl.handle.net/10467/62701.

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

MLA Handbook (7th Edition):

Václav, Strnad. “Klasifikace pohybu na základě nasnímaných pohybových dat .” Web. 17 Jan 2021.

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

Vancouver:

Václav S. Klasifikace pohybu na základě nasnímaných pohybových dat . [Internet] [Thesis]. Czech University of Technology; [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10467/62701.

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

Council of Science Editors:

Václav S. Klasifikace pohybu na základě nasnímaných pohybových dat . [Thesis]. Czech University of Technology; Available from: http://hdl.handle.net/10467/62701

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


Brno University of Technology

11. Molnár, Ondřej. Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification.

Degree: 2019, Brno University of Technology

 This paper deals with document classification using artificial intelligence. It describes the principles of classification and machine learning. It also introduces AI methods and presents… (more)

Subjects/Keywords: umělá inteligence; UI; klasifikace textu; klasifikace dokumentů; klasifikátor; naivní Bayes; strojové učení; zpracování přirozeného jazyka; Artificial intelligence; AI; Text Classification; Document classification; Classifier; Naive Bayes; Machine learning; Natural language processing

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

APA (6th Edition):

Molnár, O. (2019). Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180209

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):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/180209.

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

MLA Handbook (7th Edition):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification.” 2019. Web. 17 Jan 2021.

Vancouver:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/180209.

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

Council of Science Editors:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180209

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


Brno University of Technology

12. Nachtnebl, Viktor. Metody klasifikace webových stránek: Methods of Web Page Classification.

Degree: 2019, Brno University of Technology

 This work deals with methods of web page classification. It explains the concept of classification and different features of web pages used for their classification.… (more)

Subjects/Keywords: Klasifikace; klasifikace webových stránek; výběr vlastností; hierarchie kategorií; TF-IDF; reprezentace dokumentu; propagace vlastnosti.; Classification; web page classification; feature selection; category hierarchy; TF-IDF; document representation; feature propagation.

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

APA (6th Edition):

Nachtnebl, V. (2019). Metody klasifikace webových stránek: Methods of Web Page Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53698

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):

Nachtnebl, Viktor. “Metody klasifikace webových stránek: Methods of Web Page Classification.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/53698.

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

MLA Handbook (7th Edition):

Nachtnebl, Viktor. “Metody klasifikace webových stránek: Methods of Web Page Classification.” 2019. Web. 17 Jan 2021.

Vancouver:

Nachtnebl V. Metody klasifikace webových stránek: Methods of Web Page Classification. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/53698.

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

Council of Science Editors:

Nachtnebl V. Metody klasifikace webových stránek: Methods of Web Page Classification. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53698

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


Brno University of Technology

13. Steinhauser, Dominik. Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment.

Degree: 2019, Brno University of Technology

 In this thesis is handled the problem of mushroom detection and recognition in natural environment. Convolutional neural networks are used. The beginning of this thesis… (more)

Subjects/Keywords: Strojové učení; Konvoluční neuronové sítě; Klasifikace; Klasifikace hub; Detekce hub; CNN; FCN; Machine learning; Convolutional neural networks; Classification; Mushroom classification; Mushroom detection; CNN; FCN

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

APA (6th Edition):

Steinhauser, D. (2019). Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69492

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):

Steinhauser, Dominik. “Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/69492.

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

MLA Handbook (7th Edition):

Steinhauser, Dominik. “Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment.” 2019. Web. 17 Jan 2021.

Vancouver:

Steinhauser D. Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/69492.

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

Council of Science Editors:

Steinhauser D. Detekce a rozpoznání hub v přirozeném prostředí: Mushroom Detection and Recognition in Natural Environment. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69492

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


Brno University of Technology

14. Kmoščák, Ondřej. Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT.… (more)

Subjects/Keywords: Získávání znalostí z databází; dolování z dat; modul; klasifikace; naivní bayesovská klasifikace; Java; NetBeans.; Knowledge discovery in databases; data mining; module; classification; naive bayes classification; Java; NetBeans.

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

APA (6th Edition):

Kmoščák, O. (2019). Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53775

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):

Kmoščák, Ondřej. “Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/53775.

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

MLA Handbook (7th Edition):

Kmoščák, Ondřej. “Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform.” 2019. Web. 17 Jan 2021.

Vancouver:

Kmoščák O. Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/53775.

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

Council of Science Editors:

Kmoščák O. Vytvoření nových klasifikačních modulů v systému pro dolování z dat na platformě NetBeans: Creation of New Clasification Units in Data Mining System on NetBeans Platform. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53775

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


Brno University of Technology

15. Sychra, Tomáš. Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents.

Degree: 2019, Brno University of Technology

 Knowledge discovery in text documents is part of data mining. However, text documents have different properties in comparison to regular databases. This project contains an… (more)

Subjects/Keywords: textové dokumenty; extrakce; extrakce informace; klasifikace; kategorizace; lineární klasifikace; Winnow; Balanced Winnow; Positive Winnow; text documents; information extraction; knowledge discovery; classification; categorization; linear classification; Winnow; Balanced Winnow; Positive Winnow

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

APA (6th Edition):

Sychra, T. (2019). Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53244

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):

Sychra, Tomáš. “Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/53244.

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

MLA Handbook (7th Edition):

Sychra, Tomáš. “Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents.” 2019. Web. 17 Jan 2021.

Vancouver:

Sychra T. Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/53244.

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

Council of Science Editors:

Sychra T. Metody extrakce informace z textových dokumentů: Methods for Information Extraction in Text Documents. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53244

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


Brno University of Technology

16. Kaščák, Pavol. Metody pro klasifikaci dat: Data Classification Methods.

Degree: 2016, Brno University of Technology

 This bachelor's thesis deals with data classification, focusing on the implementation of naive Bayes classification method. At First, it is generally described process of data… (more)

Subjects/Keywords: Získávání znalostí z databází; dolování dat; klasifikace; klasifikační metody; naivní Bayesovská klasifikace.; Knowledge discovery in databases; data mining; classification; classification methods; naive Bayes classification.

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

APA (6th Edition):

Kaščák, P. (2016). Metody pro klasifikaci dat: Data Classification Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54484

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):

Kaščák, Pavol. “Metody pro klasifikaci dat: Data Classification Methods.” 2016. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/54484.

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

MLA Handbook (7th Edition):

Kaščák, Pavol. “Metody pro klasifikaci dat: Data Classification Methods.” 2016. Web. 17 Jan 2021.

Vancouver:

Kaščák P. Metody pro klasifikaci dat: Data Classification Methods. [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/54484.

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

Council of Science Editors:

Kaščák P. Metody pro klasifikaci dat: Data Classification Methods. [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/54484

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


Brno University of Technology

17. Mikulka, Jan. Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing.

Degree: 2018, Brno University of Technology

 The PhD thesis deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It is focused primarily on processing medical… (more)

Subjects/Keywords: zpracování obrazů; segmentace obrazů; klasifikace objektů; aktivní kontury; rozpoznání eliptických tvarů; automatická klasifikace tkání; image processing; image segmentation; image classification; active contours; ellipse fitting; automatic tissue classification

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

APA (6th Edition):

Mikulka, J. (2018). Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4086

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):

Mikulka, Jan. “Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/4086.

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

MLA Handbook (7th Edition):

Mikulka, Jan. “Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing.” 2018. Web. 17 Jan 2021.

Vancouver:

Mikulka J. Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/4086.

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

Council of Science Editors:

Mikulka J. Segmentační metody ve zpracování biomedicínských obrazů: Segmentation Methods in Biomedical Image Processing. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/4086

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


Brno University of Technology

18. Vývoda, Jan. Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities.

Degree: 2020, Brno University of Technology

 This Bachelor thesis deals with cell segmentation by pixel classification of various microscopic modalities. There is a summary of possible features and also some of… (more)

Subjects/Keywords: Segmentace buněk; zpracování obrazu; klasifikace pixelů.; Cell segmentation; image preprocessing; pixel classification.

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

APA (6th Edition):

Vývoda, J. (2020). Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190482

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):

Vývoda, Jan. “Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/190482.

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

MLA Handbook (7th Edition):

Vývoda, Jan. “Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities.” 2020. Web. 17 Jan 2021.

Vancouver:

Vývoda J. Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/190482.

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

Council of Science Editors:

Vývoda J. Segmentace buněk pomocí klasifikace pixelů ve snímcích z různých mikroskopických modalit: Cell segmentation by pixel classification in images from various microscopic modalities. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190482

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


Brno University of Technology

19. Beneš, Martin. Counting People Using a PIR Sensor: Counting People Using a PIR Sensor.

Degree: 2020, Brno University of Technology

 PIR (passive infrared) sensors are mainly used to detect a presence of a person and notifying a system to react appropriately. The aim of this… (more)

Subjects/Keywords: PIR sensor; klasifikace; fuzzy model; lineární regrese; PIR sensor; classification; fuzzy model; linear regression

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

APA (6th Edition):

Beneš, M. (2020). Counting People Using a PIR Sensor: Counting People Using a PIR Sensor. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/187218

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):

Beneš, Martin. “Counting People Using a PIR Sensor: Counting People Using a PIR Sensor.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/187218.

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

MLA Handbook (7th Edition):

Beneš, Martin. “Counting People Using a PIR Sensor: Counting People Using a PIR Sensor.” 2020. Web. 17 Jan 2021.

Vancouver:

Beneš M. Counting People Using a PIR Sensor: Counting People Using a PIR Sensor. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/187218.

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

Council of Science Editors:

Beneš M. Counting People Using a PIR Sensor: Counting People Using a PIR Sensor. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/187218

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


Brno University of Technology

20. Pospíšil, Milan. Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text.

Degree: 2020, Brno University of Technology

 Today exists many semi-structured documents, whitch we want convert to structured form. Goal of this work is create a system, that make this task more… (more)

Subjects/Keywords: extrakce informací; wrapper; Microsoft Word; klasifikace textu; information extraction; wrapper; Microsoft Word; text classification

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

APA (6th Edition):

Pospíšil, M. (2020). Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/187584

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):

Pospíšil, Milan. “Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/187584.

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

MLA Handbook (7th Edition):

Pospíšil, Milan. “Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text.” 2020. Web. 17 Jan 2021.

Vancouver:

Pospíšil M. Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/187584.

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

Council of Science Editors:

Pospíšil M. Extrakce sémantických vztahů z textu: Extraction of Semantic Relations from Text. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/187584

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


Brno University of Technology

21. Pazderka, Radek. Rozpoznávání kódů captcha: Captcha Recognition.

Degree: 2020, Brno University of Technology

 This bachelor thesis is focused on design and implementation of application, which would recognize CAPTCHA codes. It also describes various types of CAPTCHA codes, their… (more)

Subjects/Keywords: CAPTCHA kód; bezpečnost; strojové učení; segmentace; klasifikace; CAPTCHA code; security; machine learning; segmentation; classification

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

APA (6th Edition):

Pazderka, R. (2020). Rozpoznávání kódů captcha: Captcha Recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189518

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):

Pazderka, Radek. “Rozpoznávání kódů captcha: Captcha Recognition.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/189518.

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

MLA Handbook (7th Edition):

Pazderka, Radek. “Rozpoznávání kódů captcha: Captcha Recognition.” 2020. Web. 17 Jan 2021.

Vancouver:

Pazderka R. Rozpoznávání kódů captcha: Captcha Recognition. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/189518.

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

Council of Science Editors:

Pazderka R. Rozpoznávání kódů captcha: Captcha Recognition. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189518

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


Brno University of Technology

22. Švantner, Martin. Globálně řízené celulární automaty: Globally Controlled Cellular Automata.

Degree: 2020, Brno University of Technology

 This master's thesis deals with cellular automata and further deals possibility of their global control. It describes the implementation of simulator of globally controlled cellular… (more)

Subjects/Keywords: celulární automat; globální řízení; klasifikace; Wolframovy třídy; Cellular Automaton; Global Control; classification; Wolfram classes

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APA (6th Edition):

Švantner, M. (2020). Globálně řízené celulární automaty: Globally Controlled Cellular Automata. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189587

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):

Švantner, Martin. “Globálně řízené celulární automaty: Globally Controlled Cellular Automata.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/189587.

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

MLA Handbook (7th Edition):

Švantner, Martin. “Globálně řízené celulární automaty: Globally Controlled Cellular Automata.” 2020. Web. 17 Jan 2021.

Vancouver:

Švantner M. Globálně řízené celulární automaty: Globally Controlled Cellular Automata. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/189587.

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

Council of Science Editors:

Švantner M. Globálně řízené celulární automaty: Globally Controlled Cellular Automata. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189587

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


Brno University of Technology

23. Šimon, Martin. Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform.

Degree: 2019, Brno University of Technology

 This thesis describes an object recognition issue in connection with the Android mobile platform. It analyzes existing methods and procedures from the field of the… (more)

Subjects/Keywords: Houby; Rozpoznávání; Klasifikace; Segmentace; Android; ARM; Mushrooms; Recognition; Classification; Segmentation; Android; ARM

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APA (6th Edition):

Šimon, M. (2019). Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54991

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):

Šimon, Martin. “Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/54991.

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

MLA Handbook (7th Edition):

Šimon, Martin. “Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform.” 2019. Web. 17 Jan 2021.

Vancouver:

Šimon M. Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/54991.

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

Council of Science Editors:

Šimon M. Rozpoznávání objektů v obraze na platformě Android: Image Object Rcognition Using Android Platform. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54991

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


Brno University of Technology

24. Synek, Radovan. Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method.

Degree: 2019, Brno University of Technology

This thesis deals with text mining. It focuses on problems of document classification and related techniques, mainly data preprocessing. Project also introduces the SVM method, which has been chosen for classification, design and testing of implemented application. Advisors/Committee Members: Bartík, Vladimír (advisor), Burget, Radek (referee).

Subjects/Keywords: Dolování v textu; dokument; kategorizace; klasifikace; předzpracování; SVM; Text mining; document; categorization; classification; preprocessing; SVM

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

APA (6th Edition):

Synek, R. (2019). Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54372

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):

Synek, Radovan. “Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/54372.

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

MLA Handbook (7th Edition):

Synek, Radovan. “Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method.” 2019. Web. 17 Jan 2021.

Vancouver:

Synek R. Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/54372.

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

Council of Science Editors:

Synek R. Klasifikace textu pomocí metody SVM: Text Classification with the SVM Method. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54372

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


Brno University of Technology

25. Homoliak, Ivan. Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions.

Degree: 2019, Brno University of Technology

 Publication aims to explore dependencies of text classification used with string kernel functions. String kernel functions are here used to retrieve rate of similarity between… (more)

Subjects/Keywords: řetězcové funkce; libSVM; klasifikace; umělá inteligence; string kernel functions; libSVM; classification; artificial inteligence

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

APA (6th Edition):

Homoliak, I. (2019). Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55997

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):

Homoliak, Ivan. “Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55997.

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

MLA Handbook (7th Edition):

Homoliak, Ivan. “Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions.” 2019. Web. 17 Jan 2021.

Vancouver:

Homoliak I. Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55997.

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

Council of Science Editors:

Homoliak I. Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí: Increasing Classification Accuracy in libSVM Using String Kernel Functions. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55997

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


Brno University of Technology

26. Luža, Jindřich. Adaptivní RSS čtečka: Adaptive RSS Reader.

Degree: 2019, Brno University of Technology

 Purpose of this balcheor thesis is posibility to enhance common RSS reader by extension, which allowing user filter RSS feed depends on that's classification by… (more)

Subjects/Keywords: RSS čtečka; Adaptivní RSS čtečka; Klasifikace textu; RSS reader; adaptive RSS reader; text classification

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APA (6th Edition):

Luža, J. (2019). Adaptivní RSS čtečka: Adaptive RSS Reader. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55658

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):

Luža, Jindřich. “Adaptivní RSS čtečka: Adaptive RSS Reader.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55658.

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

MLA Handbook (7th Edition):

Luža, Jindřich. “Adaptivní RSS čtečka: Adaptive RSS Reader.” 2019. Web. 17 Jan 2021.

Vancouver:

Luža J. Adaptivní RSS čtečka: Adaptive RSS Reader. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55658.

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

Council of Science Editors:

Luža J. Adaptivní RSS čtečka: Adaptive RSS Reader. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55658

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


Brno University of Technology

27. Machala, Jiří. Algoritmy klasifikace paketů: Packet Classification Algorithms.

Degree: 2019, Brno University of Technology

 The main aim of this work is interpretation and implementation of HyperCuts algorithm. It also covers the problematic of packet classification in general - it… (more)

Subjects/Keywords: klasifikace paketů; HyperCuts; HiCuts; implementace; porovnání; packet classification; HyperCuts; HiCuts; implementation; comparison

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APA (6th Edition):

Machala, J. (2019). Algoritmy klasifikace paketů: Packet Classification Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55110

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):

Machala, Jiří. “Algoritmy klasifikace paketů: Packet Classification Algorithms.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55110.

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

MLA Handbook (7th Edition):

Machala, Jiří. “Algoritmy klasifikace paketů: Packet Classification Algorithms.” 2019. Web. 17 Jan 2021.

Vancouver:

Machala J. Algoritmy klasifikace paketů: Packet Classification Algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55110.

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

Council of Science Editors:

Machala J. Algoritmy klasifikace paketů: Packet Classification Algorithms. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55110

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


Brno University of Technology

28. Myška, Michal. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.

Degree: 2019, Brno University of Technology

 This bachelor's thesis deals with packet classification in computer networks. The theory describing a computer network and approach to the classification is explained in the… (more)

Subjects/Keywords: Klasifikace paketů; filtrování paketů; HiCuts; klasifikační algoritmus; Packet classification; packet filters; HiCuts; classification algorithm

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

APA (6th Edition):

Myška, M. (2019). Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55116

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):

Myška, Michal. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55116.

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

MLA Handbook (7th Edition):

Myška, Michal. “Algoritmy pro klasifikaci paketů: Packet Classification Algorithms.” 2019. Web. 17 Jan 2021.

Vancouver:

Myška M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55116.

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

Council of Science Editors:

Myška M. Algoritmy pro klasifikaci paketů: Packet Classification Algorithms. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55116

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


Brno University of Technology

29. Kašík, Ondřej. Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans.

Degree: 2020, Brno University of Technology

 This thesis deals with design and implementation of an algorithm for segmentation of ribs from thoracic CT data. For the segmentation method of rib centerlines… (more)

Subjects/Keywords: Výpočetní tomografie; segmentace; žebra; středové linie; klasifikace; Computed tomography; segmentation; ribs; centrelines; classification

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APA (6th Edition):

Kašík, O. (2020). Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189152

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):

Kašík, Ondřej. “Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/189152.

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

MLA Handbook (7th Edition):

Kašík, Ondřej. “Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans.” 2020. Web. 17 Jan 2021.

Vancouver:

Kašík O. Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/189152.

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

Council of Science Editors:

Kašík O. Segmentace žeber v hrudních CT skenech: Segmentation of ribs in thoracic CT scans. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189152

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


Brno University of Technology

30. Nekut, Tomáš. Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application.

Degree: 2020, Brno University of Technology

 The goal of this thesis was to design and implement application which would be able to predict the most suitable connection type of two steel… (more)

Subjects/Keywords: neuronová síť; klasifikace; ocelový styčník; predikce spoje; neural network; classification; steel connection; joint prediction

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

APA (6th Edition):

Nekut, T. (2020). Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/191542

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):

Nekut, Tomáš. “Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/191542.

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

MLA Handbook (7th Edition):

Nekut, Tomáš. “Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application.” 2020. Web. 17 Jan 2021.

Vancouver:

Nekut T. Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/191542.

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

Council of Science Editors:

Nekut T. Klasifikace ocelových styčníků v aplikaci IDEA StatiCa: Classification of Steel Connections in IDEA StatiCa Application. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/191542

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

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