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Sepideh Hassankhani Dolatabadi
Sepideh Hassankhani Dolatabadi
PhD.student (Faculty of Informatics and Information Technologies)
Verified email at savba.sk
Title
Cited by
Cited by
Year
Designing of customer and employee churn prediction model based on data mining method and neural predictor
SH Dolatabadi, F Keynia
2017 2nd international conference on computer and communication systems …, 2017
652017
Systematic literature review predictive maintenance solutions for SMEs from the last decade
S Hassankhani Dolatabadi, I Budinska
Machines 9 (9), 191, 2021
202021
A new method based on gamification algorithm to engage stakeholders in competitive markets
SH Dolatabadi, I Budinskai
2020 IEEE 24th International Conference on Intelligent Engineering Systems …, 2020
42020
Communication Protocol for using Nontraditional Information Sources between First Responders and Citizens during Wildfires
Z Balogh, E Gatial, Š Dlugolinský, M Saltarella, MP Scipioni, D Grunwald, ...
Proceedings of the 20th International ISCRAM Conference, 152-165, 2023
12023
Prediction of Photovoltaic Energy Production Using Machine Learning Methods in the RapidMiner Application
DS Hassankhani, I Budinská, Z Balogh, J Moižiš, DS Hassankhani
2022 IEEE 26th International Conference on Intelligent Engineering Systems …, 2022
12022
SILVANUS Dashboard for Wildfire Management
D Grunwald, M Wawrzyniak, M Przybyszewski, E Gatial, Z Balogh, ...
ISCRAM Proceedings 21, 2024
2024
Engaging the Public in Forest Fire Awareness through a Mobile Application
E Gatial, Z Balogh, SH Dolatabadi, MS Molina, T Kasig, KY Mojir, ...
ISCRAM Proceedings 21, 2024
2024
Auction-based job scheduling for smart manufacturing
E Gatial, Z Balogh, SH Dolatabadi, H Ghorbel, S Carrino, J Dreyer, ...
2023 IEEE 17th International Symposium on Applied Computational Intelligence …, 2023
2023
Closing the Data Gap: A Comparative Study of Missing Value Imputation Algorithms in Time Series Datasets
S Hassankhani Dolatabadi, I Budinská, R Behmaneshpour, E Gatial
Proceedings of the Computational Methods in Systems and Software, 77-90, 2023
2023
Closing the Data Gap: A Comparative Study of Missing Value Imputation Algorithms in Time Series Datasets
SH Dolatabadi, I Budinská, R Behmaneshpour, E Gatial
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