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Bankruptcy prediction model
Kratochvilová, Monika ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis is focused on the evaluation of the efficiency of selected bankruptcy models in the Czech Republic. In the theoretical part the basic terminology and methodology of bankruptcy models creation are introduced. In addition are mentioned, model constraints, an overview of the indicators used, and information about model accuracy. This part also presents analyzed models and methods of assessing the reliability of bankruptcy models. In the practical part, the reliability of selected bankruptcy models is evaluated and a new bankruptcy model is built.
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Pause Identification in Degraded Speech Signal
Podloucká, Lenka ; Balík, Miroslav (referee) ; Smékal, Zdeněk (advisor)
This diploma thesis deals with pause identification with degraded speech signal. The speech characteristics and the conception of speech signal processing are described here. The work aim was to create the reliable recognizing method to establish speech and non-speech segments of speech signal with and without degraded speech signal. The five empty pause detectors were realized in computing environment MATLAB. There was the energetic detector in time domain, two-step detector in spectral domain, one-step integral detector, two-step integral detector and differential detector in cepstrum. The spectral detector makes use of energetic characteristics of speech signal in first step and statistic analysis in second step. Cepstral detectors make use of integral or differential algorithms. The detectors robustness was tested for different types of speech degradation and different values of Signal to Noise Ratio. The test of influence different speech degradation was conducted to compare non-speech detection for detectors by ROC (Receiver Operating Characteristic) Curves.
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Bankruptcy Prediction Modelling in Construction Business
Srbová, Pavla ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.
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The current effectivness of bankruptcy prediction models in the conditions of Central and Eastern Europe
Honzíček, Štěpán ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
Bachelor’s thesis describes issues of bankruptcy risk. It fleshes out key concepts related to bankrupt, introduces financial analysis like a instrument of evaluation enterprise financial situation and specifically deals with prediction bankruptcy models. Metodology of model construction is introduced and ROC curves as an efficiency testing method. Case study makes evaluation of accuracy for five chosen models in sector small and medium enterprises manufacturing industry of central and eastern Europe. Concluding part narrates possibility modification of models for accuracy increase.
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Masked face recognition
Kašpar, Jan ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis focuses on the recognition of people with covered faces. The work describes four algorithms InsightFace, FaceNet, OpenFace, and face recognition. From these algorithms, the most suitable for recognizing people with a covered face is selected. Two databases of persons are created, and two models for the recognition of persons are trained; one is for the recognition of persons with a covered face and the other for non-covered persons. ROC curves are created for these models to determine the accuracy of the models. The created program is used to recognize people or to add them to the database created by SQLite.
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The current effectivness of bankruptcy prediction models in the conditions of Central and Eastern Europe
Honzíček, Štěpán ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
Bachelor’s thesis describes issues of bankruptcy risk. It fleshes out key concepts related to bankrupt, introduces financial analysis like a instrument of evaluation enterprise financial situation and specifically deals with prediction bankruptcy models. Metodology of model construction is introduced and ROC curves as an efficiency testing method. Case study makes evaluation of accuracy for five chosen models in sector small and medium enterprises manufacturing industry of central and eastern Europe. Concluding part narrates possibility modification of models for accuracy increase.
|
|
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Masked face recognition
Kašpar, Jan ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis focuses on the recognition of people with covered faces. The work describes four algorithms InsightFace, FaceNet, OpenFace, and face recognition. From these algorithms, the most suitable for recognizing people with a covered face is selected. Two databases of persons are created, and two models for the recognition of persons are trained; one is for the recognition of persons with a covered face and the other for non-covered persons. ROC curves are created for these models to determine the accuracy of the models. The created program is used to recognize people or to add them to the database created by SQLite.
|
|
|
Bankruptcy prediction model
Kratochvilová, Monika ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis is focused on the evaluation of the efficiency of selected bankruptcy models in the Czech Republic. In the theoretical part the basic terminology and methodology of bankruptcy models creation are introduced. In addition are mentioned, model constraints, an overview of the indicators used, and information about model accuracy. This part also presents analyzed models and methods of assessing the reliability of bankruptcy models. In the practical part, the reliability of selected bankruptcy models is evaluated and a new bankruptcy model is built.
|
|
|
Bankruptcy Prediction Modelling in Construction Business
Srbová, Pavla ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.
|
|
|
Pause Identification in Degraded Speech Signal
Podloucká, Lenka ; Balík, Miroslav (referee) ; Smékal, Zdeněk (advisor)
This diploma thesis deals with pause identification with degraded speech signal. The speech characteristics and the conception of speech signal processing are described here. The work aim was to create the reliable recognizing method to establish speech and non-speech segments of speech signal with and without degraded speech signal. The five empty pause detectors were realized in computing environment MATLAB. There was the energetic detector in time domain, two-step detector in spectral domain, one-step integral detector, two-step integral detector and differential detector in cepstrum. The spectral detector makes use of energetic characteristics of speech signal in first step and statistic analysis in second step. Cepstral detectors make use of integral or differential algorithms. The detectors robustness was tested for different types of speech degradation and different values of Signal to Noise Ratio. The test of influence different speech degradation was conducted to compare non-speech detection for detectors by ROC (Receiver Operating Characteristic) Curves.
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