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

5 items found, displaying 1 to 5.

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

Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting
(2024)

Artūrs Ķempelis, Andrejs Romānovs, Antons Patļins
Full-text conference paper published in conference proceedings 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)

Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting (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)

Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting
(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)