Ke-Cheng Peng

Affiliations:
  • National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China
  • National University of Defense Technology, College of Computer, Changsha, China


According to our database1, Ke-Cheng Peng authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains.
Remote. Sens., February, 2024

2023
Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction - A Case of the '720' Rainstorm in Henan, China.
Sensors, 2022

Position Error Correction for Satellite Precipitation Products Using Image Registration based on Unsupervised Learning.
Proceedings of the IEEE Smartworld, 2022

2021
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, 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.
Entropy, 2021

2020
El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition.
Symmetry, 2020

Variational Principles for Two Kinds of Coupled Nonlinear Equations in Shallow Water.
Symmetry, 2020


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