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 | 65 | 2017 |
Systematic literature review predictive maintenance solutions for SMEs from the last decade S Hassankhani Dolatabadi, I Budinska Machines 9 (9), 191, 2021 | 20 | 2021 |
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 | 4 | 2020 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 | | |