Zobrazeno 1 - 10
of 44
pro vyhledávání: '"konvoluční neuronová síť"'
Autor:
Lechovský, Adam
The goal of this thesis is to train an artificial neural network which will be able to improve the technical quality of audio recordings. To achieve this, three artificial audio distortions are used to train seven different deep neural networks on pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::acf011f15bfc701bca1f2d9820dfc6c6
http://www.nusl.cz/ntk/nusl-510363
http://www.nusl.cz/ntk/nusl-510363
Autor:
Zbavitel, Tomáš
The aim of the present work is to select a suitable object classification method for the recognition of one-handed finger alphabet characters. For this purpose, a sufficiently robust dataset has been created and is included in this work. The creation
Externí odkaz:
http://www.nusl.cz/ntk/nusl-455694
Autor:
Karas, Kristián
The work is focused on the use of artificial intelligence techniques in the industry and in systems for monitoring machines. In the practical part, the work focuses on the construction of a convolutional neural network and its testing on real data fo
Externí odkaz:
http://www.nusl.cz/ntk/nusl-444961
Autor:
Imramovská, Klára
The thesis deals with problems of automatic detection of premature ventricular contractions in ECG records. One detection method which uses a convolutional neural network and LSTM units is implemented in the Python language. Cardiac cycles extracted
Externí odkaz:
http://www.nusl.cz/ntk/nusl-442489
Autor:
Mikulec, Vojtěch
This master’s thesis deals with the implementation of functional solution for classifying road users using mobile device with Android operating system. The goal is to create Android application which classifies vehicles in real time using rear-faci
Externí odkaz:
http://www.nusl.cz/ntk/nusl-442362
Autor:
Řádová, Martina
Diploma thesis "Classification of UAV hyperspectral images using deep learning methods" focuses on the classification methods, namely convolutional neural networks (CNN), of hyperspectral (HS) images. Based on a thorough literature review, a comprehe
Externí odkaz:
http://www.nusl.cz/ntk/nusl-451675
Autor:
Řádová, Martina
Diploma thesis "Classification of UAV hyperspectral images using deep learning methods" focuses on the classification methods, namely convolutional neural networks (CNN), of hyperspectral (HS) images. Based on a thorough literature review, a comprehe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::f4d38122f3e70efbd24d16046a4ad49f
http://www.nusl.cz/ntk/nusl-451675
http://www.nusl.cz/ntk/nusl-451675
This paper presents a deep convolutional neural network (CNN) based method that automatically segments arc- like structures of coronal loops from the intensity images of Sun’s corona. The method explores multiple U-Net architecture variants which e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b6873cd1cb792a5dbb2ec51fbef7c7
http://hdl.handle.net/11025/45028
http://hdl.handle.net/11025/45028
Autor:
Richárd Rádli, László Czúni
Publikováno v:
CSRN.
Visual defect detection is a key technology in modern industrial manufacturing systems. There are many possible appearances of product defects, including distortions in color, shape, contamination, missing or superfluous parts. For the detection of t
Publikováno v:
IEEE Access, Vol 9, Pp 82130-82145 (2021)
Robotic manipulation with a nontrivial object providing various types of grasping points is of an industrial interest. Here, an efficient method of simultaneous detection of the grasping points is proposed. Specifically, two different 3 degree-of-fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::938ce4d230006a907cd48d5b1fa870f6
https://hdl.handle.net/10195/79110
https://hdl.handle.net/10195/79110