Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-022-03270-6.pdf
Reference90 articles.
1. Abadi M (2016) TensorFlow: Learning functions at scale. Proc 21st ACM SIGPLAN Int Conf Funct Program. https://doi.org/10.1145/2951913.2976746
2. Abdullahi SI, Habaebi MH, Malik NA (2018) Flood disaster warning system on the go. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, pp 258–263
3. Ahmed AAM, Deo RC, Feng Q, Ghahramani A, Raj N, Yin Z, Yang L (2021) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. J Hydrol 599:126350
4. Alizamir M, Kim S, Kisi O, Zounemat-Kermani M (2020) A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions. Energy 117239
5. Alotaibi S, Amooie MA, Ahmadi MH, Nabipour N, Chau K (2020) Modeling thermal conductivity of ethylene glycol-based nanofluids using multivariate adaptive regression splines and group method of data handling artificial neural network. Eng Appl Comput Fluid Mech 14:379–390. https://doi.org/10.1080/19942060.2020.1715843
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