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Fatemeh ghobadi
Fatemeh ghobadi
Post-doctoral Researcher, Kyung Hee University, Civil Engineering, Water Resource System Laboratory
Geverifieerd e-mailadres voor khu.ac.kr
Titel
Geciteerd door
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Jaar
Application of machine learning in water resources management: A systematic literature review
F Ghobadi, D Kang
Water 15 (4), 620, 2023
362023
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative study
F Ghobadi, D Kang
Journal of Hydrology 615, 128608, 2022
232022
Multi-step ahead probabilistic forecasting of daily streamflow using Bayesian deep learning: A multiple case study
F Ghobadi, D Kang
Water 14 (22), 3672, 2022
182022
Water pipe replacement scheduling based on life cycle cost assessment and optimization algorithm
F Ghobadi, G Jeong, D Kang
Water 13 (5), 605, 2021
142021
Systematic review and cutting-edge applications of prominent heuristic optimizers in sustainable energies
P Ifaei, AT Esfehankalateh, F Ghobadi, B Mohammadi-Ivatloo, CK Yoo
Journal of Cleaner Production, 137632, 2023
72023
Application of machine learning in water resources management: a systematic literature review. Water 15 (4), 620
F Ghobadi, D Kang
52023
Feature extraction from satellite-derived hydroclimate data: Assessing impacts on various neural networks for multi-step ahead streamflow prediction
F Ghobadi, AS Tayerani Charmchi, D Kang
Sustainability 15 (22), 15761, 2023
32023
Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A Multiple Case Study. Water 2022, 14, 3672
F Ghobadi, D Kang
s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022
22022
Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning …
F Ghobadi, ZM Yaseen, D Kang
Journal of Hydrology 631, 130772, 2024
12024
Application of transfer learning for streamflow prediction by using attention-based Informer algorithm
F Ghobadi, D Kang
Proceedings of the Korea Water Resources Association Conference, 165-165, 2023
2023
Mesoscale spatial-temporal prediction of monthly streamflow in poorly gauged basins: A case study
F Ghobadi, D Kang
대한토목학회 학술대회, 18-19, 2021
2021
Optimal Replacement Scheduling of Water Pipelines
F Ghobadi, D Kang
Proceedings of the Korea Water Resources Association Conference, 145-145, 2021
2021
Application of NSGA-II, NSGA-III and R-NSGA-III for Water Pipe Replacement Scheduling Optimization
F Ghobadi, D Kang
대한토목학회 학술대회, 162-163, 2020
2020
Estimating peak flow based on EPA SWMM and HEC-1 method using ASSA (Case Study: East Eghbal Catchment, Mashhad, Iran)
ATC Fatemeh Ghobadi
EGU, 2018
2018
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal and attention-based deep learning: A comparative study
F Ghobadi, D Kang
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Artikelen 1–15