( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer.

, , , , , , , , , , и . Remote. Sens., 16 (6): 1075 (марта 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jin Peng

Lei Peng

 

Другие публикации лиц с тем же именем

El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition., , , и . Symmetry, 12 (6): 893 (2020)Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator., , , , , и . SMC, стр. 13-18. IEEE, (2023)Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method., , , , и . ICONIP (7), том 1961 из Communications in Computer and Information Science, стр. 290-302. Springer, (2023)High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer., , , , , , , , , и 1 other автор(ы). Remote. Sens., 16 (6): 1075 (марта 2024)Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction - A Case of the '720' Rainstorm in Henan, China., , и . Sensors, 22 (15): 5583 (2022)Ensemble Empirical Mode Decomposition with Adaptive Noise with Convolution Based Gated Recurrent Neural Network: A New Deep Learning Model for South Asian High Intensity Forecasting., , , , и . Symmetry, 13 (6): 931 (2021)Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method., , , , , и . Entropy, 23 (10): 1314 (2021)Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains., , , , , , , , , и 1 other автор(ы). Remote. Sens., 16 (3): 548 (февраля 2024)Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation., , и . IJCNN, стр. 1-10. IEEE, (2023)Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning., , , , и . ICIC (2), том 14087 из Lecture Notes in Computer Science, стр. 235-246. Springer, (2023)