22 citations as recorded by crossref.

1. Influence of climatic parameters on the probabilistic design of green roofs A. Raimondi et al. 10.1016/j.scitotenv.2022.161291
2. Estimation of rainfall–runoff using SCS-CN method and GIS techniques in drought-prone area of Upper Kangsabati Watershed, India A. Saha et al. 10.1007/s40899-022-00731-z
3. Runoff from an extensive green roof during extreme events: Insights from 15 years of observations K. Paus & B. Braskerud 10.1002/hyp.15220
4. A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia E. Habtemariam et al. 10.3390/en16052317
5. aiWATERS: an artificial intelligence framework for the water sector D. Vekaria & S. Sinha 10.1007/s43503-024-00025-7
6. Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique S. Swain et al. 10.1038/s41598-024-53410-8
7. A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin M. Abdallah et al. 10.5194/hess-28-1147-2024
8. Simulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin H. Tongal & M. Booij 10.1007/s00477-022-02276-1
9. Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control T. Kinoshita & T. Ozaki 10.3389/fclim.2024.1287386
10. Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network M. Al Mehedi et al. 10.1016/j.jhydrol.2023.130076
11. Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches Y. Wang et al. 10.2166/wst.2024.115
12. Assessment and Modeling of Green Roof System Hydrological Effectiveness in Runoff Control: A Case Study in Dublin M. Gholamnia et al. 10.1109/ACCESS.2024.3516313
13. Forecasting green roofs’ potential in improving building thermal performance and mitigating urban heat island in the Mediterranean area: An artificial intelligence-based approach D. Mazzeo et al. 10.1016/j.applthermaleng.2022.119879
14. Understanding the hydrological performance of green and grey roofs during winter in cold climate regions N. Maurin et al. 10.1016/j.scitotenv.2024.174132
15. On the use of multi-objective optimization for multi-site calibration of extensive green roofs E. Abdalla et al. 10.1016/j.jenvman.2022.116716
16. Modeling the hydrological benefits of green roof systems: applications and future needs Z. Dong et al. 10.1039/D3EW00149K
17. Fault diagnosis of uncertain photovoltaic systems using deep recurrent neural networks based Lissajous curves Z. Yahyaoui et al. 10.1016/j.compeleceng.2025.110191
18. Towards improving the calibration practice of conceptual hydrological models of extensive green roofs E. Mohsen Hassan Abdalla et al. 10.1016/j.jhydrol.2022.127548
19. Modelling urban stormwater management changes using SWMM and convection-permitting climate simulations in cold areas O. Tamm et al. 10.1016/j.jhydrol.2023.129656
20. Unit Operation and Process Modeling with Physics-Informed Machine Learning H. Li et al. 10.1061/JOEEDU.EEENG-7467
21. Forecasting Green Roofs’ Potential in Improving Building Thermal Performance and Mitigating Urban Heat Island in the Mediterranean Area: An Artificial Intelligence-Based Approach D. Mazzeo et al. 10.2139/ssrn.4155132
22. The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology K. Fang et al. 10.1029/2021WR029583