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Application for Outlier Detection
Siladi, František ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The goal of this work is to investigate methods for outlier detection and to create an application which is able to correctly identify these values using individual methods or combinations of outlier detection methods. Another goal of the application is to clearly display the results of outlier detection and then visualize them in 2D or 3D space. The work also includes experiments on selected data sets, which are adapted to outlier detection and on automatically generated sets. The application and experiments were created in Python and Qt for Python was used to create the graphical user interface.
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Mobile Applications for Real-Time Noise Removal
Siladi, František ; Skácel, Miroslav (referee) ; Novotný, Ondřej (advisor)
The goal of this bachelor's thesis is to create a mobile application which will remove the noise from speech in real time. The first chapter describes the theory related to signal processing and described filters for denoising. The following chapter summarizes existing solutions. The third chapter contains my own design and implementation. At the end of this thesis is the evaluation of the application and evaluation from users.
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Application for Outlier Detection
Siladi, František ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The goal of this work is to investigate methods for outlier detection and to create an application which is able to correctly identify these values using individual methods or combinations of outlier detection methods. Another goal of the application is to clearly display the results of outlier detection and then visualize them in 2D or 3D space. The work also includes experiments on selected data sets, which are adapted to outlier detection and on automatically generated sets. The application and experiments were created in Python and Qt for Python was used to create the graphical user interface.
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Mobile Applications for Real-Time Noise Removal
Siladi, František ; Skácel, Miroslav (referee) ; Novotný, Ondřej (advisor)
The goal of this bachelor's thesis is to create a mobile application which will remove the noise from speech in real time. The first chapter describes the theory related to signal processing and described filters for denoising. The following chapter summarizes existing solutions. The third chapter contains my own design and implementation. At the end of this thesis is the evaluation of the application and evaluation from users.
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