Jing Lin Ng - researchr alias

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Viewing Publication 1 - 3 from 3

2023

Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approachesAdnan Dehghani, Hamza Mohammad Zakir Hiyat Moazam, Fatemehsadat Mortazavizadeh, Vahid Ranjbar, Majid Mirzaei, Saber Mortezavi, Jing Lin Ng, Amin Dehghani. ecoi, 75:102119, July 2023. [doi]

Spatiotemporal variability assessment and accuracy evaluation of Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in MalaysiaYi Xun Tan, Jing Lin Ng, Yuk Feng Huang. esi, 16(1):67-89, March 2023. [doi]

2022

Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approachesMin Yan Chia, Yuk Feng Huang, Chai Hoon Koo, Jing Lin Ng, Ali Najah Ahmed, Ahmed El-Shafie 0001. asc, 126:109221, 2022. [doi]

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