Details

Varovalni gozdovi: presoja naravnih nevarnosti, načrtovanje in gospodarjenje : zbornik razširjenih povzetkov predavanj
ID Diaci, Jurij (Editor), ID Adamič, Tomaž (Technical editor)

.pdfPDF - Presentation file, Download (41,60 MB)
MD5: 28AE34982E941BDBF5E8D5B202B9AE0C

Language:Slovenian
Keywords:gozdarstvo, gozdovi, gospodarjenje z gozdovi, ogroženost, elementarne nesreče, zaščitni gozdovi, zborniki
Work type:Proceedings
Typology:2.25 - Other Monographs and Other Completed Works
Organization:BF - Biotechnical Faculty
Publication status:Published
Place of publishing:Ljubljana
Publisher:Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire
Year:2012
Number of pages:65 str.
PID:20.500.12556/RUL-126104 This link opens in a new window
ISBN:978-961-6020-61-9
UDC:630*26(082)
COBISS.SI-ID:261179648 This link opens in a new window
Publication date in RUL:12.04.2021
Views:1425
Downloads:126
Metadata:XML DC-XML DC-RDF
:
DIACI, Jurij (ed.), 2012, Varovalni gozdovi: presoja naravnih nevarnosti, načrtovanje in gospodarjenje : zbornik razširjenih povzetkov predavanj [online]. Other Monographs and Other Completed Works. Ljubljana : Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire. [Accessed 30 March 2025]. ISBN 978-961-6020-61-9. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=126104
Copy citation
Share:Bookmark and Share

Similar documents

Similar works from RUL:
  1. Object detection and classification in aquatic environment using convolutional neural networks
  2. Computer-vision based polyp detection in underwater images
  3. Training deep neural networks for stereo vision
  4. Image Compression Using Convolutional Neural Networks
  5. Using deep convolutional neural networks on natural language problems
Similar works from other Slovenian collections:
  1. Person age estimation based on digital images using convolutional neural networks
  2. Food recognition from digital images using convolutional neural networks
  3. Recognition of human emotions on digital images using convolutional neural networks
  4. Person activity recognition from image sequence using convolutional neural networks
  5. Non-intrusive fall recognition using smart floor

Back