Yan I. Kuchin

Orcid: 0000-0002-5271-9071

Affiliations:
  • Satbayev University, Almaty, Kazakhstan


According to our database1, Yan I. Kuchin authored at least 16 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning.
Remote. Sens., December, 2023

Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models.
Remote. Sens., September, 2023

Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture.
IEEE Access, 2023

The Application of Machine Learning Technique to Soil Salinity Mapping in South of Kazakhstan.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022
Data for Filtration Properties Estimation of Host Rocks.
Dataset, May, 2022

Analysis of the Correlation between Mass-Media Publication Activity and COVID-19 Epidemiological Situation in Early 2022.
Inf., 2022

Estimation of Filtration Properties of Host Rocks in Sandstone-Type Uranium Deposits Using Machine Learning Methods.
IEEE Access, 2022

2021
KazNewsDataset: Single Country Overall Digital Mass Media Publication Corpus.
Data, 2021

Mass Media as a Mirror of the COVID-19 Pandemic.
Comput., 2021

Reflection of the COVID-19 pandemic in mass media.
Proceedings of the International Conference on Information and Digital Technologies, 2021

Rapid bibliometric analysis in deep learning domain.
Proceedings of the International Conference on Information and Digital Technologies, 2021

2020
Classification of Negative Information on Socially Significant Topics in Mass Media.
Symmetry, 2020

Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks.
Appl. Comput. Syst., 2020

2017
Machine Learning Methods for Identifying Composition of Uranium Deposits in Kazakhstan.
Appl. Comput. Syst., 2017

2014
Integration of Results from Recognition Algorithms Applied to the Uranium Deposits.
J. Adv. Comput. Intell. Intell. Informatics, 2014

2012
Geophysical research of boreholes: Artificial neural networks data analysis.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012


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