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Estimation of Tropical Cyclone Intensity via Deep Learning Techniques from Satellite Cloud Images.

, , , , , and . Remote. Sens., 15 (17): 4188 (September 2023)

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Estimation of Tropical Cyclone Intensity via Deep Learning Techniques from Satellite Cloud Images., , , , , and . Remote. Sens., 15 (17): 4188 (September 2023)A Review of Progress and Applications of Pulsed Doppler Wind LiDARs., , , , , , , and . Remote. Sens., 11 (21): 2522 (2019)LIDAR and Chaotic Oscillatory-based Neural Network for Wind Shear Forecasting., , and . FCS, page 22-28. CSREA Press, (2010)On the Use of Dynamic Calibration to Correct Drop Counter Rain Gauge Measurements., , , and . Sensors, 21 (18): 6321 (2021)Using LIDAR doppler velocity data and chaotic oscillatory-based neural network for the forecast of meso-scale wind field., , , and . IEEE Congress on Evolutionary Computation, page 2012-2019. IEEE, (2008)Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data., , , and . Appl. Artif. Intell., (December 2024)Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches., , , , , and . Remote. Sens., 10 (4): 631 (2018)Spatio-Temporal Data Fusion for Satellite Images Using Hopfield Neural Network., , and . Remote. Sens., 11 (18): 2077 (2019)A winter monsoon front over the South China Sea studied by multi-sensor satellite data, weather radar data, and a numerical model., , , and . IGARSS, page 2070-2073. IEEE, (2012)