Author:
Le Xuan-Hien,Nguyen Duc Hai,Jung Sungho,Lee Giha
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Reference57 articles.
1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C et al (2015) TensorFlow: Large-scale machine learning on heterogeneous distributed systems. ArXiv abs/1603.04467
2. Adnan RM, Petroselli A, Heddam S, Santos CAG, Kisi O (2021) Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model. Stoch Environ Res Risk Assess 35:597–616. https://doi.org/10.1007/s00477-020-01910-0
3. Amidi A, Amidi S (2018) Convolutional Neural Networks cheatsheet. https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks. Accessed Oct 2022
4. Ardabili S, Mosavi A, Dehghani M, Várkonyi-Kóczy AR (2020) Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review. Cham, pp. 52–62. https://doi.org/10.1007/978-3-030-36841-8_5
5. Banerjee A, Chakrabarty M, Rakshit N, Bhowmick AR, Ray S (2019) Environmental factors as indicators of dissolved oxygen concentration and zooplankton abundance: Deep learning versus traditional regression approach. Ecol Indic 100:99–117. https://doi.org/10.1016/j.ecolind.2018.09.051
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献