Show document

A+ | A- | | SLO | ENG

Title: Grafični uporabniški vmesniki za nadzor valjarske linije Authors: ID Bratina, Jernej (Author) ID Kocijan, Juš (Mentor) More about this mentor... Files: http://www.ung.si/~library/diplome/PTF/74Bratina.pdf   74Bratina.pdf (882,96 KB) MD5: 6FFA1D3C10CD3C9F57A475AD1F78E9E0   Language: Slovenian Work type: Undergraduate thesis Typology: 2.11 - Undergraduate Thesis Organization: PTF - Faculty of Engineering and Management Keywords: diplomske naloge, valjarska linija, nadzorni sistemi, SCADA, programska orodja Place of publishing: Nova Gorica Publisher: J. Bratina Year of publishing: 2007 Number of pages: VIII, 74 str. PID: 20.500.12556/RUNG-628  COBISS.SI-ID: 765435  UDC: 681.518.52 NUK URN: URN:SI:UNG:REP:C5BJ67KI Publication date in RUNG: 15.10.2013 Views: 11677 Downloads: 441 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 : BRATINA, Jernej, 2007, Grafični uporabniški vmesniki za nadzor valjarske linije [online]. Bachelor’s thesis. Nova Gorica : J. Bratina. [Accessed 31 March 2025]. Retrieved from: https://repozitorij.ung.si/IzpisGradiva.php?lang=eng&id=628 Copy citation

Average score: 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 (0 votes) Your score: Voting is allowed only for logged in users. Share: Similar works from our repository: Prediction of geospatial raster data using convolutional neural networks Despeckling of SAR Images Using Residual Twin CNN and Multi-Resolution Attention Mechanism Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning UAV Thermal Imaging for Unexploded Ordnance Detection by Using Deep Learning Determining squat depth with the help of machine vision Similar works from other repositories: Detekcija uhljev s konvolucijskimi nevronskimi mrežami Iris recognition using deep learning Weather forecasting with convolutional neural networks Reconstructing superquadrics from intensity and color images Part of speech tagging of slovene language using deep neural networks Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Back