Imię i nazwisko: Amin Mahdavi-Meymand
pokój: A10
tel.: (+48)585222910
e-mail: ce452e57e8afada63bf14d9b87074d26a7b8c9e2d0dcd4
ORCID: 0000-0002-9125-5214
Książki
Artykuły
- Zounemat-Kermani M., Mahdavi-Meymand A., Hinkelmann R/: A comprehensive survey on conventional and modern neural networks: application to river flow forecasting. Earth Science Informatics, 14, 2021, str. 893-911 , DOI: 10.1007/s12145-021-00599-1
- Mahdavi-Meymand A., Zounemat-Kermani M., Qaderi K.: Prediction of hydro-suction dredging depth using data-driven methods. Frontiers of Structural and Civil Engineering, 15, 2021, str. 652-664 , DOI: 10.1007/s11709-021-0719-7
- Zounemat-Kermani M., Mahdavi-Meymand A., Hinkelmann R.: Nature-inspired algorithms in sanitary engineering: modelling sediment transport in sewer pipes. Soft Computing, 25, 2021, str. 6373-6390 , DOI: 10.1007/s00500-021-05628-1
- Memar S., Mahdavi-Meymand A., Sulisz W.: Prediction of seasonal maximum wave height for unevenly spaced time series by Black Widow Optimization algorithm. Marine Structures, 78, 2021, str. 103005-1-103005- , DOI: 10.1016/j.marstruc.2021.103005