[1]
|
Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost
Limnology and Oceanography,
2024
DOI:10.1002/lno.12549
|
|
|
[2]
|
Prediction of Salinity of Nakdong River Estuary Using Deep Learning Algorithm (LSTM) for Time Series Analysis
Journal of Korean Society of Coastal and Ocean Engineers,
2022
DOI:10.9765/KSCOE.2022.34.4.128
|
|
|
[3]
|
Revisiting the salinity condition in the Kuantan Estuary
Physics and Chemistry of the Earth, Parts A/B/C,
2021
DOI:10.1016/j.pce.2021.103066
|
|
|
[4]
|
Machine Learning Applied to the Oxygen-18 Isotopic Composition, Salinity and Temperature/Potential Temperature in the Mediterranean Sea
Mathematics,
2021
DOI:10.3390/math9192523
|
|
|
[5]
|
Machine Learning Applied to the Oxygen-18 Isotopic Composition, Salinity and Temperature/Potential Temperature in the Mediterranean Sea
Mathematics,
2021
DOI:10.3390/math9192523
|
|
|
[6]
|
Prediction of channel sinuosity in perennial rivers using Bayesian Mutual Information theory and support vector regression coupled with meta-heuristic algorithms
Earth Science Informatics,
2021
DOI:10.1007/s12145-021-00682-7
|
|
|
[7]
|
Revisiting the salinity condition in the Kuantan Estuary
Physics and Chemistry of the Earth, Parts A/B/C,
2021
DOI:10.1016/j.pce.2021.103066
|
|
|
[8]
|
Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds
Neural Computing and Applications,
2018
DOI:10.1007/s00521-018-3436-y
|
|
|
[9]
|
Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir
Ecological Chemistry and Engineering S,
2017
DOI:10.1515/eces-2017-0039
|
|
|