Service-oriented paradigm for analyzing hydrological processes. - Milan Gocic; Dragan Stojanovic (SAC, 2012)

Soft computing approaches for forecasting reference evapotranspiration. - Milan Gocic; Shervin Motamedi; Shahaboddin Shamshirband; Dalibor Petkovic; Sudheer Ch; Roslan Hashim; Muhammad Arif (Comput. Electron. Agric., 2015)

Extreme learning machine based prediction of daily dew point temperature. - Kasra Mohammadi; Shahaboddin Shamshirband; Shervin Motamedi; Dalibor Petkovic; Roslan Hashim; Milan Gocic (Comput. Electron. Agric., 2015)

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology. - Dalibor Petkovic; Milan Gocic; Slavisa Trajkovic; Shahaboddin Shamshirband; Shervin Motamedi; Roslan Hashim; Hossein Bonakdari (Comput. Electron. Agric., 2015)

Soft-Computing Methodologies for Precipitation Estimation: A Case Study. - Shahaboddin Shamshirband; Milan Gocic; Dalibor Petkovic; Hadi Saboohi; Tutut Herawan; Miss Laiha Mat Kiah; Shatirah Akib (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine. - Milan Gocic; Dalibor Petkovic; Shahaboddin Shamshirband; Amirrudin Kamsin (Comput. Electron. Agric., 2016)

Determining the best fitting distribution of annual precipitation data in Serbia using L-moments method. - Milan Gocic; Lazar Velimirovic; Miomir Stankovic; Slavisa Trajkovic (Earth Sci. Informatics, 2021)

Neural network based system in evapotranspiration time series prediction. - Predrag Popovic; Milan Gocic; Katarina Petkovic; Slavisa Trajkovic (Earth Sci. Informatics, 2023)