| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning–based U-Net model for ENSO-related precipitation responses to sea surface temperature anomalies over the tropical Pacific
|
Zhu, Yuchao
|
|
|
16 |
4 |
p.
|
artikel
|
| 2 |
A machine learning approach to quality-control Argo temperature data
|
Zhang, Qi
|
|
|
16 |
4 |
p.
|
artikel
|
| 3 |
A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions
|
Zhou, Lu
|
|
|
16 |
4 |
p.
|
artikel
|
| 4 |
3D DBSCAN detection and parameter sensitivity of the 2022 Yangtze river summertime heatwave and drought
|
Liu, Zhenchen
|
|
|
16 |
4 |
p.
|
artikel
|
| 5 |
Deep learning in extracting tropical cyclone intensity and wind radius information from satellite infrared images—A review
|
Wang, Chong
|
|
|
16 |
4 |
p.
|
artikel
|
| 6 |
Intelligent identification of oceanic eddies in remote sensing data via Dual-Pyramid UNet
|
Zhao, Nan
|
|
|
16 |
4 |
p.
|
artikel
|
| 7 |
Prediction of ENSO using multivariable deep learning
|
Chen, Yue
|
|
|
16 |
4 |
p.
|
artikel
|
| 8 |
Short-term wind speed forecasting bias correction in the Hangzhou area of China based on a machine learning model
|
Fang, Yi
|
|
|
16 |
4 |
p.
|
artikel
|
| 9 |
U-Net: A deep-learning method for improving summer precipitation forecasts in China
|
Deng, Qimin
|
|
|
16 |
4 |
p.
|
artikel
|
| 10 |
Wave forecast in the Atlantic Ocean using a double-stage ConvLSTM network
|
Ouyang, Lin
|
|
|
16 |
4 |
p.
|
artikel
|
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