Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Repository of the University of Ljubljana
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Details
Grafični uporabniški vmesnik za Agdo : magistrsko delo
ID
Koležnik, Marko
(
Author
),
ID
Bauer, Andrej
(
Mentor
)
More about this mentor...
PDF - Presentation file,
Download
(1,42 MB)
MD5: B2C8742B639EE6B2282A88AE3301D42A
PID:
20.500.12556/rul/db576783-a1cc-4da0-ad1c-b17d26c45aea
Image galllery
Language:
Slovenian
Keywords:
Agda
,
grafični uporabniški vmesnik
,
ogrodje Cocoa
,
medprocesna komunikacija
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FMF - Faculty of Mathematics and Physics
Place of publishing:
Ljubljana
Publisher:
[M. Koležnik]
Year:
2015
Number of pages:
IX, 55 str.
PID:
20.500.12556/RUL-96234
UDC:
510.6
COBISS.SI-ID:
17550937
Publication date in RUL:
27.09.2017
Views:
2882
Downloads:
392
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
KOLEŽNIK, Marko, 2015,
Grafični uporabniški vmesnik za Agdo : magistrsko delo
[online]. Master’s thesis. Ljubljana : M. Koležnik. [Accessed 4 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=96234
Copy citation
Share:
Secondary language
Language:
English
Keywords:
Agda
,
graphical user interface
,
Cocoa framework
,
interprocess communication
Similar documents
Similar works from RUL:
Part of speech tagging of slovene language using deep neural networks
Superposition and compression of deep neutral networks
Object detection and classification in aquatic environment using convolutional neural networks
Analysis of infrared spectra using deep neural networks
Automatic text summarization of Slovene texts using deep neural networks
Similar works from other Slovenian collections:
Predicting GPS tracks with deep neural networks
Comparison of different deep neural network learning algorithms in autonomous driving
Zaznavanje sentimenta v novicah z globokimi nevronskimi mrežami
The preparation of photos' dataset and its classification using deep neural networks
Time series classification based on convolutional neural networks
Back