RTU Research Outputs and Resources: Reasearch Staff

Information about Author

Name, Surname:

Artūrs Ķempelis

Department:

(33500) Informācijas tehnoloģijas institūts

E-mail:

Arturs.Kempelis_1(at)rtu.lv

Publications

4 items found, displaying 1 to 4.

Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems
(2024)

Artūrs Ķempelis, Inese Poļaka, Andrejs Romānovs, Antons Patļins
Scientific article indexed in SCOPUS or WOS database

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
(2023)

Marta Narigina, Artūrs Ķempelis, Andrejs Romānovs
Scientific article indexed in SCOPUS or WOS database

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing
(2023)

Artūrs Ķempelis, Marta Narigina, Eduards Osadcijs, Antons Patļins, Andrejs Romānovs
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Using Computer Vision and Machine Learning Based Methods for Plant Monitoring in Agriculture: A Systematic Literature Review
(2022)

Artūrs Ķempelis, Andrejs Romānovs, Antons Patļins
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Information about Author

Publications

Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems (2024)

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing (2023)

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing (2023)

Using Computer Vision and Machine Learning Based Methods for Plant Monitoring in Agriculture: A Systematic Literature Review (2022)

Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems
(2024)

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
(2023)

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing
(2023)

Using Computer Vision and Machine Learning Based Methods for Plant Monitoring in Agriculture: A Systematic Literature Review
(2022)