RTU Research Outputs and Resources: Reasearch Staff

Information about Author

Name, Surname:

Artūrs Stepčenko

Department:

(0B000) Attīstības un finanšu prorektora dienests

Scientific Degree:

Doktors

E-mail:

Arturs.Stepcenko(at)edu.rtu.lv

ORCID: orcid-logo

0000-0001-5692-4227

Publications

12 items found, displaying 1 to 10.

Forecasting System Development for Nonlinear and Nonstationary Time Series of Normalized Difference Vegetation Index
(2019)

Artūrs Stepčenko
Doctoral Thesis

An Approach Developing to Approximately Calculate Sub-Signal Obtained from Modified Variational Mode Decomposition Method
(2019)

Artūrs Stepčenko
Conference paper

Transfer of the Data Preprocessing Parameters and Forecasting Models
(2018)

Artūrs Stepčenko, Jurijs Čižovs, Ludmila Aleksejeva
Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases

Nonlinear, Non-stationary and Seasonal Time Series Forecasting Using Different Methods Coupled with Data Preprocessing
(2017)

Artūrs Stepčenko, Jurijs Čižovs, Ludmila Aleksejeva, Juri Tolujew
Scientific article indexed in SCOPUS or WOS database

Land Cover Classification Based On MODIS Imagery Data Using Artificial Neural Networks
(2017)

Artūrs Stepčenko
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

NDVI Index Forecasting Using a Layer Recurrent Neural Network Coupled with Stepwise Regression and the PCA
(2016)

Artūrs Stepčenko
Full-text conference paper published in other conference proceedings

Markov Chain Modelling for Short-Term NDVI Time Series Forecasting
(2016)

Artūrs Stepčenko, Jurijs Čižovs
Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases

NDVI Short-Term Forecasting Using Recurrent Neural Networks
(2015)

Artūrs Stepčenko, Jurijs Čižovs
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Normalized Difference Vegetation Index Forecasting Using a Regularized Layer Recurrent Neural Network
(2015)

Artūrs Stepčenko
Full-text conference paper published in other conference proceedings

Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions
(2015)

Artūrs Stepčenko, Jurijs Čižovs
Publications in RTU scientific journal

Information about Author

Publications

Forecasting System Development for Nonlinear and Nonstationary Time Series of Normalized Difference Vegetation Index (2019)

An Approach Developing to Approximately Calculate Sub-Signal Obtained from Modified Variational Mode Decomposition Method (2019)

Transfer of the Data Preprocessing Parameters and Forecasting Models (2018)

Nonlinear, Non-stationary and Seasonal Time Series Forecasting Using Different Methods Coupled with Data Preprocessing (2017)

Land Cover Classification Based On MODIS Imagery Data Using Artificial Neural Networks (2017)

NDVI Index Forecasting Using a Layer Recurrent Neural Network Coupled with Stepwise Regression and the PCA (2016)

Markov Chain Modelling for Short-Term NDVI Time Series Forecasting (2016)

NDVI Short-Term Forecasting Using Recurrent Neural Networks (2015)

Normalized Difference Vegetation Index Forecasting Using a Regularized Layer Recurrent Neural Network (2015)

Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions (2015)

Forecasting System Development for Nonlinear and Nonstationary Time Series of Normalized Difference Vegetation Index
(2019)

An Approach Developing to Approximately Calculate Sub-Signal Obtained from Modified Variational Mode Decomposition Method
(2019)

Transfer of the Data Preprocessing Parameters and Forecasting Models
(2018)

Nonlinear, Non-stationary and Seasonal Time Series Forecasting Using Different Methods Coupled with Data Preprocessing
(2017)

Land Cover Classification Based On MODIS Imagery Data Using Artificial Neural Networks
(2017)

NDVI Index Forecasting Using a Layer Recurrent Neural Network Coupled with Stepwise Regression and the PCA
(2016)

Markov Chain Modelling for Short-Term NDVI Time Series Forecasting
(2016)

NDVI Short-Term Forecasting Using Recurrent Neural Networks
(2015)

Normalized Difference Vegetation Index Forecasting Using a Regularized Layer Recurrent Neural Network
(2015)

Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions
(2015)