Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
University of Nova Gorica
University
Study
Research
Repository of University of Nova Gorica
About
Search
Browse
Statistics
Login
Show document
A+
|
A-
|
|
SLO
|
ENG
Title:
Comparative analysis of supervised machine learning models for PM10 and black carbon concentrations in Soča Valley (Slovenia)
Authors:
ID
Koren, Urška
(Author)
ID
Močnik, Griša
(Author)
ID
Mozetič, N.
(Author)
ID
Pavlin, V.
(Author)
Files:
https://www.dropbox.com/scl/fi/mk12y4q0ux3rnqrjo1nqj/EAC2024_Abstract_Book.pdf?rlkey=19grqfz3ec8lsuyvcu83e6iun&e=2&st=soar36hh&dl=0
https://www.eac2024.fi/
Language:
English
Work type:
Unknown
Typology:
1.12 - Published Scientific Conference Contribution Abstract
Organization:
UNG - University of Nova Gorica
Keywords:
PM10
,
black carbon
,
supervised machine learning
Publication status:
Published
Publication version:
Version of Record
Year of publishing:
2024
Number of pages:
Str. [125]
PID:
20.500.12556/RUNG-9901
COBISS.SI-ID:
228763139
UDC:
504.5
NUK URN:
URN:SI:UNG:REP:3KCZKCXN
Publication date in RUNG:
12.03.2025
Views:
448
Downloads:
5
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
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Record is a part of a monograph
Title:
Abstract Book of European Aerosol Conference 2024 : (EAC2024)
Place of publishing:
[S. l.]
Publisher:
Finnish Association for Aerosol Research
COBISS.SI-ID:
221455875
Back