Thesis Details
Určování počasí podle snímků oblaků
The main purpose of this thesis is a creation of a simple mobile application that would be able to give weather predictions based on a cloud photo through the usage of convolu- tional neural networks. I have analyzed all types of clouds and joined them with weather prediction. Then there are the results of experiments with different neural networks archi- tectures and different datasets. In the end of this thesis I have described the creation of the Android application as well as the problems I had to solve.
artificial intelligence, machine learning, classification, classification algorithms, deep lear- ning, neural networks, convolutional neural networks, image recognition, computer vision, clouds classification, weather prediction, mobile application, Android
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Dytrych Jaroslav, Ing., Ph.D. (DCGM FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT22207,
author = "Tom\'{a}\v{s} Kuka\v{n}",
type = "Bachelor's thesis",
title = "Ur\v{c}ov\'{a}n\'{i} po\v{c}as\'{i} podle sn\'{i}mk\r{u} oblak\r{u}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/22207/"
}