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State of the art speech features used during the Parkinson disease diagnosis
Bílý, Ondřej ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.
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Graphical Educational System
Hotař, Roman ; Seeman, Michal (referee) ; Štancl, Vít (advisor)
The purpose of this thesis is the proposal of the issue of education software for learning algorithms. Work approach to the problem, both from a theoretical point of view, of education and learning to new things, so and more important from a practical point of view for introduction to the process algorithmization. It also discusses the problem of learning algorithms in Czech schools and describes the resulting program, which was created along with this thesis. Contribution of this thesis is the summary of the requirements for the software and implementing software of this type, where is possible to demonstrate the problems and requirements of the draft programs of this kind. This thesis also describes the reactions of teachers to created application.
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Neural Networks Application
Macůrek, Miloslav ; Jindra, Petr (referee) ; Šťastný, Jiří (advisor)
This Bechelor’s thesis will cover the theme of neural networks, their history, characteristics, basic typology of neural networks and learning algorithms and analysis of their applications demonstrated in simple examples created in MATLAB software.
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Prediction of Raining from Meteoradar
Vlček, Michael ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
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Porovnání open-source nástrojů pro strojové učení
Poliakova, Yevheniia
Poliakova, Y. Comparison of open-source tools for machine learning. Thesis. Brno: Mendel University in Brno, 2022. This work is devoted to the research of accessible open source artificial intelligence. The thesis describes a selected list of available artificial intelligence tools and the use of these tools for specific tasks. The main contribution of the work is the comparison of open-source tools using experiments focused on inductively controlled (supervised, classification) knowledge acquisition from large volumes of text and data. These experiments will be performed using selected open-source tools. The result of the work will be a conclusion about the advantages and disadvantages of the already mentioned platforms, their characteristics in solving specific problems and recommendations for choosing a platform according to the assigned task or data.
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Neural Networks Application
Macůrek, Miloslav ; Jindra, Petr (referee) ; Šťastný, Jiří (advisor)
This Bechelor’s thesis will cover the theme of neural networks, their history, characteristics, basic typology of neural networks and learning algorithms and analysis of their applications demonstrated in simple examples created in MATLAB software.
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Graphical Educational System
Hotař, Roman ; Seeman, Michal (referee) ; Štancl, Vít (advisor)
The purpose of this thesis is the proposal of the issue of education software for learning algorithms. Work approach to the problem, both from a theoretical point of view, of education and learning to new things, so and more important from a practical point of view for introduction to the process algorithmization. It also discusses the problem of learning algorithms in Czech schools and describes the resulting program, which was created along with this thesis. Contribution of this thesis is the summary of the requirements for the software and implementing software of this type, where is possible to demonstrate the problems and requirements of the draft programs of this kind. This thesis also describes the reactions of teachers to created application.
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Prediction of Raining from Meteoradar
Vlček, Michael ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
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|
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State of the art speech features used during the Parkinson disease diagnosis
Bílý, Ondřej ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.
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