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Dissertations / Theses on the topic 'Hluboké'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Habrnál, Matěj. "Hluboké neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236132.

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The thesis addresses the topic of Deep Neural Networks, in particular the methods regar- ding the field of Deep Learning, which is used to initialize the weight and learning process s itself within Deep Neural Networks. The focus is also put to the basic theory of the classical Neural Networks, which is important to comprehensive understanding of the issue. The aim of this work is to determine the optimal set of optional parameters of the algori- thms on various complexity levels of image recognition tasks through experimenting with created application applying Deep Neural Networks. Furthermor

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2

Klíma, Jan. "Hluboké vrtání leteckého dílu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-230980.

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Diploma thesis deals with problems about deep drilling of aeronautical part made of aluminum alloy EN AW 7075 T7351. This work is focused on the material properties component and current aluminum alloys processing. Further it contains a part delicated to various kinds of technologies of deep drilling, primarily is focused to gun drilling. Describes a tool, technology and conditions in gun drilling of deep holes with focused to analysis of the forces. Then it compares contemporary manufacturing technology of part drilling in cooperation and proposes an innovative technology of manufacturing. Th

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3

Tomisová, Gabriela. "Předpjatý pás přes hluboké údolí." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-265226.

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The topic of this thesis is a design of stress ribbon bridge across the deep valley. The construction of the footbridge contains stress ribbon bridge with external cables and final prestressing tendons. The bridge deck is in a parabolic arc and the suspension cables are in two bend down parabolic arcs. The construction is reproduced for evaluation of longitudinal direction in the Ansys 14.0 programme and for transversal direction in the Scia Engineer 15.1 programme. The model was solved in several phases, nonlinerally. The pier was reproduced in the Scia Engineer 15.1 programme for local effec

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4

Kolařík, Martin. "Hluboké učení pro klasifikaci textů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317210.

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Thesis focuses on analysis of contemporary machine learning methods used for text classification based on emotion and testing several deep neural nework architectures. Outcome of this thesis is a neural network architecture, which is tuned for using with text data and which had the best result of 79,94 percent. Proposed method is language independent and it doesn’t require as precisely classified training datasets as current methods. Training and testing datasets were consisted of short amateur movie reviews in Czech and in English. Thesis contains also overview of theoretical basics for convo

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Pírková, Barbora. "Dálniční most přes hluboké údolí." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-265632.

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The subject of this diploma thesis is the design and the assessment of post-tensioned bridge structure over deep wally, which transfer road D26,5/100 on D1 in Slovakia between Hubová – Ivachnová. Three variants were designed and compared. The most suitable variant of two identical bridges with box cross-section and constant height was further assess in detail.

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6

Kratochvílová, Martina. "Lávka pro pěší přes hluboké údolí." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-392209.

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The aim of this thesis is the design and analysis of pedestrian bridge across the deep valley. There were designed three variants. The variant of structure, which combines stress ribbon with concrete arch, was chosen for the analysis. The optimal geometry was found using iteration methods with VBA Excel. The calculation model was made in software Ansys 19.0, considering phases of construction. The Ultimate limit state and the service limit state were evaluated as well as dynamic behavior of construction – modal analysis (eigenfrequencies and eigenshapes) and response to harmonic excitation. Th

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7

Bronda, Samuel. "Hluboké neuronové sítě pro prostředí superpočítače." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400885.

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The main benefit of the work is the optimization of the hardware configuration for the calculation of neural networks. The theoretical part describes neural networks, deep learning frameworks and hardware options. The next part of the thesis deals with implementation of performance tests, which include application of Inception V3 and ResNet models. Network models are applied to various graphics cards and computing hardware. The output of the thesis is the implemented model of the network Inception V3, which examines the graphics cards and their performance, time-consuming calculations and thei

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Matěj, Aleš. "Hluboké neuronové sítě: implementace pro vestavěné systémy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385971.

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The goal of this thesis is to firstly design and implement an application for embeddedsystems which will classify MNIST numbers and secondly optimize energy and memoryrequirements of this network. The basics of neural networks, Cortex-M processor cores andembedded devices are described in the theoretical part. Followed by implementation details.Networks learning is done with Python and Theano library on a PC. The network is thenconverted to C for a board STM32F429 Discovery. Last part consist of network optimization,which focuses on convolution, dot product and number representation of weights

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9

Mlynarič, Tomáš. "Hluboké neuronové sítě pro klasifikaci objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385880.

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This paper deals with classifying objects using deep neural networks. Whole scene segmentation was used as main algorithm for the classification purpose which works with video sequences and obtains information between two video frames. Optical flow was used for getting information from the video frames, based on which features maps of a~neural network are warped. Two neural network architectures were adjusted to work with videos and experimented with. Results of the experiments show, that using videos for image segmentation improves accuracy (IoU) compared to the same architecture working with

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10

Mihalčin, Tomáš. "Hluboké neuronové sítě pro rozpoznání tváří ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385952.

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This diploma thesis focuses on a face recognition from a video, specifically how to aggregate feature vectors into a single discriminatory vector also called a template. It examines the issue of the extremely angled faces with respect to the accuracy of the verification. Also compares the relationship between templates made from vectors extracted from video frames and vectors from photos. Suggested hypothesis is tested by two deep convolutional neural networks, namely the well-known VGG-16 network model and a model called Fingera provided by company Innovatrics. Several experiments were carrie

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11

Juřica, Tomáš. "Hluboké neuronové sítě pro detekci anomálií při kontrole kvality." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399190.

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The goal of this work is to bring automatic defect detection to the manufacturing process of plastic cards. A card is considered defective when it is contaminated with a dust particle or a hair. The main challenges I am facing to accomplish this task are a very few training data samples (214 images), small area of target defects in context of an entire card (average defect area is 0.0068 \% of the card) and also very complex background the detection task is performed on. In order to accomplish the task, I decided to use Mask R-CNN detection algorithm combined with augmentation techniques such

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12

Kočí, Jakub. "Hluboké posilovaná učení a řešení pohybu robotu typu had." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-416652.

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This master thesis is discussing application of reinforcement learning in deep learning tasks. In theoretical part, basics about artificial neural networks and reinforcement learning. The thesis describes theoretical model of reinforcement learning process - Markov processes. Some interesting techniques are shown on conventional reinforcement learning algorithms. Some of widely used deep reinforcement learning algorithms are described here as well. Practical part consist of implementing model of robot and it's environment and of the deep reinforcement learning system itself.

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Vojnarová, Petra. "Studie přestavby historického objektu sýpky v Hluboké nad Vltavou v zábavní park." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162685.

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The aim of this Diploma Thesis is the elaboration of a study concerning the project for the reconstruction of the historical building of a granary in Hluboká nad Vltavou into an amusement park. The theoretical base of the thesis deals with the importance of the tourism at the national and regional levels where the contemporary situation of the Southern Bohemian Region is described in a more detailed way. A part of the thesis includes selected examples of local and foreign case studies dealing with similar projects like the planned project of an amusement park and it also corresponds with the c

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14

Duban, Michal. "Identifikace osob pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255453.

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This master's thesis deals with design and implementation of convolutional neural networks used in person re-identification. Implemented convolutional neural networks were tested on two datasets CUHK01 a CUHK03. Results, comparable with state of the art methods were acheved on these datasets. Designed networks were implemented in Caffe framework.

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15

Boudová, Markéta. "Segmentace skrytých P vln pomocí metod hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442578.

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The aim of this thesis is segmentation of P waves in ECG signals. The theoretical part of the thesis describes the physiology of the heart and the basics of deep learning methods. Preprocessing of the signals is performed and neural network U-Net is implemented in the Python software environment in the practical part. Afterwards, optimization of network architecture is performed in order to reduce model complexity. Lastly the success rate of the model is evaluated.

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16

Dolníček, Pavel. "Trénovatelná segmentace obrazu s použitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317224.

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This work focuses on the topic of machine learning, specifically implementation of a program for automated classification using deep learning. This work compares different trainable models of neural networks and describes practical solutions encountered during their implementation.

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17

Dobrovský, Ladislav. "Automatické čtení SPZ s využitím technik hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-377653.

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Focus of this thesis is research of deep convolutional artificial neural networks and their usage as solution to automatic license plate recognition problem. After summary of theory and current trends the further direction of development has been chosen. Thesis investigates several types of convolutional neural networks and complex architecture of system of collaborating applications. In practical part is described implementation and results of experiments with assessment of networks’ suitability for practical use.

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18

Harár, Pavol. "Klasifikace audia hlubokým učením s limitovanými zdroji dat." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-408054.

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Standardní postupy diagnózy dysfonie klinickým logopedem mají své nevýhody, především tu, že je tento proces velmi subjektivní. Nicméně v poslední době získala popularitu automatická objektivní analýza stavu mluvčího. Vědci úspěšně založili své metody na různých algoritmech strojového učení a ručně vytvořených příznacích. Tyto metody nejsou bohužel přímo škálovatelné na jiné poruchy hlasu, samotný proces tvorby příznaků je pracný a také náročný z hlediska financí a talentu. Na základě předchozích úspěchů může přístup založený na hlubokém učení pomoci překlenout některé problémy se škálovatelno

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19

Strejček, Jakub. "Odstraňování šumu v obraze pomocí metod hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442579.

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This thesis focuses on comparing methods of denoising by deep learning and their implementation. In the last few years, it has become clear that it is not necessary to have paired data, as for noisy and clean pictures, to train convolution neural networks but it is sufficient to have only noisy pictures for denoising in particular cases. By using methods described in this thesis it is possible to effectively remove i.e. additive Gaussian noise and what more, it is possible to achieve better results than by using statistic methods, which are being used for denoising these days.

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20

Charvát, Lucie. "Deep Pushdown Automata and Their Restricted Versions." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363840.

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Pro přirozené číslo n, n-expandovatelné hluboké zasobníkové automaty vždy obsahují maximálně n výskytů nevstupních symbolů v jejich zásobníku v průběhu jakékoli kompilace. Jako hlavní výsledek, tato práce demonstruje, že tyto automaty mají stejnou vyjadřovací sílu jako automaty s #, nacházející pouze na dně zásobníku, a jediným dalším nevstupním symbolem. Z tohoto závěru vyplývá nekonečná hierarchie jazyků přijímaných těmito automaty.

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Křenek, Jakub. "Metody hlubokého učení pro zpracování obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-361733.

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This master‘s thesis deals with the Deep Learning methods for image recognition tasks from the first methods to the modern ones. The main focus is on convolutional neural nets based models for classification, detection and image segmentation. These methods are used for practical implemetation – counting passing cars on video from traffic camera. After several test of available models, the YOLOv2 architecture was chosen and retrained on own dataset. The application also includes the addition of the SORT tracking algorithm.

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Budíková, Barbora. "Automatická detekce fibrilace síní pomocí metod hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413017.

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Atrial fibrillation is an arrhythmia commonly detected from ECG using its specific characteristics. An early detection of this arrhythmia is a key to prevention of more serious conditions. Nowadays, atrial fibrillation detection is being implemented more often using deep learning. This work presents detection of atrial fibrillation from 12lead ECG using deep convolutional network. In the first section, there is a theoretical context of this work, then there is a description of proposed algorithm. Detection is implemented by a program in Python in two variations and their accuracy is rated by A

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Polášková, Lenka. "Použití metod hlubokého učení v úlohách zpracování obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242002.

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The clue of learning to recognize objects using neural network lies in imitation of animal neural network's behavior. In spite the details of how brain works is not known yet, the teams consisting of scientists from various medical or technical professions are trying to search for them. Thanks to giants like Geoffrey Hinton science made a big progress in this domain. The convolutional networks which are based on animal model of optical system can be advantageously used for image segmentation and therefore they ware chosen for segmentation of tumor and edema from images of magnetic resonance. T

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Doležal, Jan. "Maziva vhodná pro tažení nerezavějící oceli." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-230460.

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This thesis solves problems of design and construction of testing equipment for testing lubricants for deep drawing and experimental evaluation of suitability of different types of lubricants for specified tests conditions. Most of all it is about finding environmentally friendly lubricant which would provide similar results as lubricants containing chlorine compounds when drawing a stainless austenitic Cr-Ni steel 1.4301. As for lubricants provided for testing by leading home and abroad manufacturers, the ATLAS 3374-140 from Quaker Chemical and the WISURA ZW 3356 from FUCHS, were evaluated as

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Cvrkal, Richard. "Návrh na zefektivnění výroby strojírenského dílu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382248.

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The thesis is dealing with drilling deep holes. Theoretical part of thesis is focused on base knowledge of deep drilling. Experimental part deals with testing two different borers, with different cutting conditions and different purchase prize. Drilling was made into 1.2343 ESU material. Conclusion of this work is concept of purchase machinery for deep drilling.

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Kaška, Zdeněk. "Obrábění vulkanizačních forem z hliníkových slitin." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417083.

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This diploma thesis is focused on the issue of deep drilling of vulcanization molds from various aluminum alloys. The work will describe a brief description of machined materials and tools for deep drilling, including the production of the vulcanization mold itself. Based on experimental measurements, the analysis of data and knowledge gained from deep drilling of aluminum alloys with different silicon contents will be performed. In the end, the individual components of force loads for both machined materials will be compared

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Hřebíček, Zdeněk. "Klasifikace obrazů s pomocí hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241140.

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This thesis deals with image object detection and its classification into classes. Classification is provided by models of framework for deep learning BVLC/Caffe. Object detection is provided by AlpacaDB/selectivesearch and belltailjp/selective_search_py algorithms. One of results of this thesis is modification and usage of deep convolutional neural network AlexNet in BVLC/Caffe framework. This model was trained with precision 51,75% for classification into 1 000 classes. Then it was modified and trained for classification into 20 classes with precision 75.50%. Contribution of this thesis is i

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Benešovská, Veronika. "Analýza vlivu trénovací datové sady na úspěšnost segmentace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442485.

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Microbial structures are present in every living organism, so it is important to classify them for subsequent research of their origin and function. Bruker, s.r.o is developing the MBT Pathfinder for this purpose, which automates the transfer of colonies to MALDI plates, where the subsequent analysis of the sample takes place. Transferred colonies can be selected manually or using an algorithm that ensures automatic colony segmentation. This algorithm must be learned on a training set, which has huge influence on its accuracy. This work deals with measuring the influence of a dataset on the ac

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Míka, Tomáš. "Výroba víka kotlového grilu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318379.

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The thesis is focused on the design of the production of kettle grill lid from steel 11 305 (1.0338) with a constant wall thickness of 1 mm and a series of 10 000 pcs/year. For the selected method of manufacture by conventional drawing, technological calculations were performed. Depending on the diameter of the blank, maximum force and other parameters, the tool and the machine were designed. The tool is a single-operation drawing tool with a blank holder and a rib around the perimeter. These functional parts, together with the drawing punch and drawing die, are made of surface-treated cementi

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Liškář, Ladislav. "Výroba subkomponentu podvozkového kulového kloubu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-379001.

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The thesis deals with the design of a technological process for the production a rotationally symmetrical component, which is part of the body for the chassis ball joint of a passenger car. Thesis was developed on request and in cooperation with THK RHYTHM Automotive Czech a.s. On the basis of a literary study, a technological process consisting of 10 operations was designed and elaborated. For the prototype production of the component, a four-column hydraulic press SHPFS 250, with a nominal force 2500 kN, was selected and price offer were prepared. For each of ten operations a prototype tool

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Brzuchańská, Anna. "Optimalizace metod hodnocení fosfátovacích lázní." Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2008. http://www.nusl.cz/ntk/nusl-216366.

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This work deals with phosphating technology of steel. In theoretical part are summarized facts about conventional phosphating process, including steel surfaces pretreatment. In the next chapter the latest contemporary technology of phosphating is discussed, i.e. electrolytic phosphating. This chapter contains principles and characteristics of this technique. Than follow comparisons of electrolytic phosphating and conventional process, concerning economical and ecological aspects. In experimental part is firstly stated nowaday situation of process analyses of phosphating bath for electrolytic p

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Slunský, Tomáš. "Vícetřídá segmentace 3D lékařských dat pomocí hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400891.

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Master's thesis deals with multiclass image segmentation using convolutional neural networks. The theoretical part of the Master's thesis focuses on image segmentation. There are basics principles of neural networks and image segmentation with more types of approaches. In practical part the Unet architecture is choosen and is described for image segmentation more. U-net was applied for medicine dataset. There is processing procedure which is more described for image proccesing of three-dimmensional data. There are also methods for data preproccessing which were applied for image multiclass seg

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Hansen, Petra. "Technologie výroby víka tvářením." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231249.

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Master´s thesis project elaborated within the scope of Master´s degree submits a proposal of manufacture technologies for complicated components with the transition of an elliptical shell into a rectangular shape. Material: Aluminium EN: AW-3003, thickness 2 mm. Estimated annual production: 80 000 pieces. Drawing tool with blankholder was designed based on calculations and literature study of deep drawing. The drawing operation is performed by a hydraulic press ZH 50 with a rated power of 500 kN. The drawing tools are made from tool steel 1.2379 (19 573). Proposal of suitable technologies resp

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Drongová, Katarzyna. "Problematika erozních a odtokových procesů v drahách soustředěného povrchového odtoku." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-233816.

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The thesis deals with analysis of factors contributing to the development of ephemeral gully erosion on area of the Czech Republic. Method used to direct measurements of ephemeral gully erosion was developed. The statistical sample of gullies was measured to describe the characteristics of ephemeral gullies. Statistical methods were used to compute simple and multiple linear regression models. The models describe relationships between ephemeral gully parameters or factors contributing to development of ephemeral gully. The thesis is concentrated with the development of methodology for predicti

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Kozlová, Dominika. "Detekce anatomických struktur v CT datech s využitím konvolučních neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-378022.

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This thesis deals with the issue of detection of anatomical structures in medical images using convolutional neural networks (CNN). At first there are described methods of machine learning, convolutional neural networks and selected methods for detection using CNN. In this work was created a database of annotated CT images of ten anatomical structures (head, heart, aorta, left and right lung, spine, liver, left and right kidney, spleen). A method for detecting these structures was designed, that contains two approaches of region proposals from image, CNN and postprocessing to obtain the detect

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Matula, Jan. "Segmentace chrupavčité tkáně ve 3D mikro CT snímcích myších embryí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401004.

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Manual segmentation of cartilage tissue in micro CT images of mouse embryos is a very time consuming process and significantly increases the time required for the research of mammal facial structure development. This problem might be solved by using a fully-automatic segmentation algorithm. In this diploma thesis a fully-automatic segmentation method is proposed using a convolutional neural network trained on manually segmented data. The architecture of the proposed convolutional network is based on the U-Net architecture with it's encoding part substituted for the encoding part of the VGG16 c

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Vavřinová, Pavlína. "Segmentace klenby lebeční u pacientů po kraniektomii." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413026.

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This thesis deals with the segmentation of cranial bone in CT patient’s data after craniectomy. The U-Net architecture in 2D and 3D variant were selected for the intention of solving this problem. Jaccard index for 2D U-Net was evaluate as 89,4 % and for 3D U-Net it was 67,1 %. In the area after surgical intervention evaluating index has smaller difference between both variant, the average success rate of skull classification was 98,4 % for 2D U-Net and 97,0 % for 3D U-Net.

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Hamerník, Pavel. "Využití hlubokého učení pro rozpoznání textu v obrazu grafického uživatelského rozhraní." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403823.

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Optical character recognition (OCR) has been a topic of interest for many years. It is defined as the process of digitizing a document image into a sequence of characters. Despite decades of intense research, OCR systems with capabilities to that of human still remains an open challenge. In this work there is presented a design and implementation of such system, which is capable of detecting texts in graphical user interfaces.

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Malina, Ondřej. "Detekce začátku a konce komplexu QRS s využitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442595.

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This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the th

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Štarha, Dominik. "Meření podobnosti obrazů s pomocí hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377018.

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This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the prob

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Jurča, Jan. "Výroba součásti z plechu s využitím technologie hlubokého tažení." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228386.

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JURČA Jan: The manufacturing of sheet metal part by deep draw technology. Thesis of Master´s Studies, the 5th Year of Study, the School-year 2008/2009, The Institute of Manufacturing Technology, Department of Machining, FSI VUT Brno.The thesis deals with the project of manufacturing the part of the car body – the fifth door by deep draw technology. The material is zinc-coated sheet metal HX220YD EN 10292. Mechanical properties and suitability of the material are evaluated by mechanical tests. The structure of the material is evaluated by metalography scratch pattern. The analysis of draw proce

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Rozhoňová, Andrea. "Metody hlubokého učení pro segmentaci cév a optického disku v oftalmologických sekvencích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400968.

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The aim of the following thesis was to study the issue of optical disc and retinal vessels segmentation in ophthalmologic sequences. The theoretical part of the thesis summarizes the principles of different approaches in the field of deep learning, which are used in connection with the given issue. Based on the theoretical part, methods for optical disk segmentation and retinal vessel segmentation based on the convolutional neural networks Linknet, PSPNet, Unet and MaskRCNN are proposed. The practical part of the thesis deals with the description of their implementation and subsequent evaluati

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Něnička, Filip. "Tažení plechu a jeho verifikace počítačovou simulací." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230415.

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This thesis engages on the differences between the numerical simulations of sheet metal drawing process performed using AutoForm software from AutoForm Engineering, Swiss company and actual results measured using non-contact measurement system Argus from German GOM company. This work used DC06 material (whose mechanical properties were determined at Technical University of Liberec) for comparison. The calculated results of simulations were compared to measured results of actual plate thickness.

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Pecha, Oldřich. "Návrh výroby dřezu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318378.

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Thesis submits concept of the sink fabrication technology where circular sink is made from rustproof austenitic steel 1.4301 (X5CrNi 18-10) using technology of conventional deep drawing without reducing wall’s thickness. Hydraulic press YL32 - 400 with nominal force 400 kN has been chosen as the production machine. Drawing tool with holder was designed to be used for this technology and its drawing documentation had been enclosed in this thesis. Size of the production series was set for 20 000 products annually. Control simulation of the drawing process has proven that designed component can b

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Bíba, David. "Výroba anemostatu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-399277.

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The thesis handle design of part of anemostat in size of series 15000 pcs/year. Due to conus shape and dimensions of part was chosen out of quantity of manufacturing processes a technology of deep drawing without a thinnig of 1mm thick DC04 steel. The resulting solution is progressive tool which concatenate four operations of deep drawing process. The drawing tool make use of standardised components. The design contain progressive tool including drawing documentation. Hydraulic press CTH 400 with nominal force 4000 kN is used for mentioned procedure.

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Černohorská, Lucie. "Klasifikace arteriálního a žilního řečiště v obrazových datech sítnice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413018.

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This master's thesis deals with the classification of the retinal blood vessels in retinal image data. The thesis contains a description of anatomy of the human eye with focus on the blood circulation, and imaging and diagnostic methods of the retina are briefly mentioned further. The thesis also summarizes methods of the blood circulation classification with emphasis on the deep learning. The practical section was implemented in Python programming language and describes the pre-processing of the data with determination of AV ratio. Based on a literature search, the U-net architecture was chos

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Senko, Jozef. "Hluboký syntaxí řízený překlad." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234933.

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This thesis is a continuation of my bachelor thesis, which is dedicated to syntax analysis based on deep pushdown automata. In theorical part of this thesis is defined everything fundamental for this work, for example deep syntax-directed translation, pushdown automata, deep pushdown automata, finite transducer and deep pushdown transducer. The second part of this thesis is dedicated to the educational program for students of IFJ. In this part is defined strucure of this program and its parts. All part of program are analyzed from a theoretical and practical point of view.

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Krušina, Jan. "Zlepšování systému pro automatické hraní hry Starcraft II v prostředí PySC2." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385883.

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The aim of this thesis is to create an automated system for playing a real-time strategy game Starcraft II. Learning from replays via supervised learning and reinforcement learning techniques are used for improving bot's behavior. The proposed system should be capable of playing the whole game utilizing PySC2 framework for machine learning. Performance of the bot is evaluated against the built-in scripted AI in the game.

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Hrdý, Martin. "Segmentace obrazových dat využitím hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442395.

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The main aim of this master’s thesis is to get acquainted with the theory of the current segmentation methods, that use deep learning. Segmentation neural network that will be capable of segmenting individual instances of the objects will be proposed and created based on theoretical knowledge. The main focus of the segmentation neural network will be segmentation of electronic components from printed circuit boards.

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Mück, Jonáš. "Maziva vhodná pro tažení nerezavějící oceli." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231053.

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The intention of this thesis is the experimental evaluation of different lubricants and their suitability for deep drawing of stainless steel 1.4404. The testing method is based on the friction model at the point of drawing edge and retainers. This model corresponds with a structure of testing fixture. The suitability of every single lubricant for this application has been determined by comparison of the output, which is dependance of the strength on the track with the reference results. The testing has been performed on many different samples provided by various manufacturers. The best result

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