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ORCIDKe-Cheng Peng
2020 – today
- 2024
[j7]Yiming Wei, Kecheng Peng, Yongjing Ma
, Yankun Sun, Dandan Zhao, Xinbing Ren, Simin Yang, Masroor Ahmad, Xiaole Pan, Zifa Wang, Jinyuan Xin:
Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains. Remote. Sens. 16(3): 548 (2024)- [j6]Simin Yang, Yongjing Ma, Wenyu Zhang, Xinbing Ren, Kecheng Peng, Masroor Ahmad, Danjie Jia, Dandan Zhao, Lingbin Kong, Yining Ma, Jinyuan Xin:
High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer. Remote. Sens. 16(6): 1075 (2024) - 2023
- [c6]Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wei Dong, Wenlong Tian, Mengge Zhou:
An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. ICANN (5) 2023: 230-242 - [c5]Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wenlong Tian, Mengge Zhou:
Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning. ICIC (2) 2023: 235-246 - [c4]Yanan Guo, Xiaoqun Cao, Mengge Zhou, Kecheng Peng, Wenlong Tian:
Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. ICONIP (7) 2023: 290-302 - [c3]Yanan Guo, Xiaoqun Cao, Kecheng Peng:
Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. IJCNN 2023: 1-10 - [c2]Yanan Guo, Xiaoqun Cao, Wei Dong, Kecheng Peng, Wenlong Tian, Mengge Zhou:
Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator. SMC 2023: 13-18 - 2022
- [j5]Wenlong Tian, Xiaoqun Cao, Kecheng Peng:
Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction - A Case of the '720' Rainstorm in Henan, China. Sensors 22(15): 5583 (2022) - [c1]Wenlong Tian, Xiaoqun Cao, Xiaoyong Li, Kecheng Peng:
Position Error Correction for Satellite Precipitation Products Using Image Registration based on Unsupervised Learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 847-855 - 2021
- [j4]Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Chaohao Xiao, Wenlong Tian:
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. Entropy 23(10): 1314 (2021) - [j3]Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Wenlong Tian:
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. Symmetry 13(6): 931 (2021) - 2020
- [j2]Xiao-Qun Cao, Yanan Guo, Shi-Cheng Hou, Cheng-Zhuo Zhang, Ke-Cheng Peng:
Variational Principles for Two Kinds of Coupled Nonlinear Equations in Shallow Water. Symmetry 12(5): 850 (2020) - [j1]Yanan Guo, Xiao-Qun Cao, Bainian Liu, Kecheng Peng:
El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition. Symmetry 12(6): 893 (2020)
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