"Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term ..."

Adnan Dehghani et al. (2023)

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DOI: 10.1016/J.ECOINF.2023.102119

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type: Journal Article

metadata version: 2025-03-03

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Adnan Dehghani, Hamza Mohammad Zakir Hiyat Moazam, Fatemehsadat Mortazavizadeh, Vahid Ranjbar, Majid Mirzaei, Saber Mortezavi, Jing Lin Ng, Amin Dehghani:
Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches. Ecol. Informatics 75: 102119 (2023)

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