Objavljeni radovi:
[1]
Arnaut, F., Kolarski, A., Srećković, V.A., Mijić, Z., 2023. Ionospheric Response on Solar Flares through Machine Learning Modeling. Universe, 9, 474. https://doi.org/10.3390/universe9110474 (IF:2,5)
[2]
Arnaut, F., Kolarski, A., Srećković, V.A., 2023. Random Forest Classification and Ionospheric Response to Solar Flares: Analysis and Validation. Universe, 9, 436. https://doi.org/10.3390/universe9100436 (IF:2,5)
[3]
Arnaut, F., Đurić, D., Đurić, U., Samardžić-Petrović, M., Peshevski, I., 2024b. Application of geophysical and multispectral imagery data for predictive mapping of a complex geo-tectonic unit: a case study of the East Vardar Ophiolite Zone, North- Macedonia. Earth Science Informatics 17, 1625–1644. https://doi.org/10.1007/s12145-024-01243-4 (IF:2,7)
[4]
Arnaut, F., Kolarski, A., Srećković, V.A., 2024. Machine Learning Classification Workflow and Datasets for Ionospheric VLF Data Exclusion. Data, 9, 17. https://doi.org/10.3390/data9010017 (IF:2,2)
[5]
Arnaut, F., Cvetkov, V., Đurić, D., Samardžić-Petrović, M., 2023. Short-term forecasting of PM10 and PM2.5 concentrations with Facebook’s Prophet Model at the Belgrade- Zeleno brdo. Geofizika, 40, 162–177. https://doi.org/10.15233/gfz.2023.40.7 (IF:0,9)
[6]
Arnaut, F., Đurđević, V., Kolarski, A., Srećković, V.A., Jevremović, S., 2024a. Improving Air Quality Data Reliability through Bi-Directional Univariate Imputation with the Random Forest Algorithm. Sustainability 16, 7629. https://doi.org/10.3390/su16177629 (IF:3,3)
[7]
Arnaut, F., Kolarski, A., Srećković, V.A., Langović, M., Jevremović, S.: Standardization framework of ionospheric Very Low Frequency (VLF) signal amplitude classes for machine learning-based anomaly detection: from calm ionospheric conditions to solar activity-induced dynamics. 2025, Contributions of the Astronomical Observatory Skalnaté Pleso, 55, 2, 13-23, DOI: 10.31577/caosp.2025.55.2.13 (IF:0,3)
[8]
Simić, V., Petrović, S., Arnaut, F., Cvetkov, V., Kostović, M., Radulović, D., Stojanović, J., Jovanović, V., Todorović, D., Nikolić, N., Senćanski, J., Bogdanović, G. & Marilović, D. 2024. ‘Projekat PRIZMA: Karakterizacija i tehnološki postupci za reciklažu i ponovnu upotrebu flotacijske jalovine rudnika „Rudnik"’, Zapisnici Srpskog geološkog društva. Beograd: Srpsko geološko društvo.
[9]
Arnaut F., Kolarski, A., 2023. Mul�layer Percep�on Hyperparameter Fine-Tuning for Ionospheric VLF Amplitude Data Exclusion. V Mee�ng on Astrophysical Spectroscopy - A&M DATA – Astronomy & Earth Observa�ons, 12-15 September, Palić, Republic of Serbia.
[10]
Arnaut, F., Kolarski, A., 2023. Feature Importance Analysis in Random Forest Regression for Air Quality Forecas�ng in Belgrade, Serbia. Interna�onal Conference on Recent Trends in Geoscience Research and Applica�ons 2023, 23-27 October, 2023, Belgrade, Republic of Serbia and virtual.
[11]
Arnaut F., 2024. River Proximity Data as A Predictor for Ophiolite Classifica�on: A Machine Learning Approach with OSM Data. XII Congress of BGS GEOPHYSICS FOR THE BETTER WORLD, Kopaonik Mt., Republic of Serbia, 27-31 May, 2024 (saopštenje štampano u celini sa kongresa- zbornik neobjavljen).
[12]
Arnaut F., Kolarski, A., 2023. Alterna�ve Evalua�on Metrics for Machine Learning Model Selec�on in Ionospheric VLF Amplitude Data Exclusion. V Mee�ng on Astrophysical Spectroscopy - A&M DATA – Astronomy & Earth Observa�ons, 12-15 September, Palić, Republic of Serbia.
[13]
Arnaut, F., Kolarski, A., 2023. Machine Learning Approach for Dis�nguishing Day�me and Nigh�me Ionospheric Condi�ons on VLF Signals Related to Solar Flares During 2011. XX Serbian Astronomical Conference, 16-20 October, 2023, Belgrade, Republic of Serbia.
