#13204. Применение методов машинного обучения для оценки трехмерных данных форм рельефа горной местности
Applying Machine Learning Methods to Evaluate 3D Mountain Landform Data

September 2026publication date
Proposal available till 28-05-2025
3 total number of authors per manuscript6000 $

The title of the journal is available only for the authors who have already paid for
Scopus Q1 Q2 , Percentile = 50+
Web of Science Q2 Q3 , IF = 0.5-1
Science Citation Index Expanded
Clarivate Analytics (Thomson Reuters)
Journal’s subject area:
Computer Science (miscellaneous)
Computational Theory and Mathematics
Electrical and Electronic Engineering
Geotechnical Engineering and Engineering Geology
Places in the authors’ list:
place 1place 2place 3
FreeFreeFree
2700 $1800 $1500 $
Contract №13204.1 Contract №13204.2 Contract №13204.3
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)

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