Features of X-Band Radar Backscattering Simulation Based on the Ocean Environmental Parameters in China Offshore Seas. - Tao Wu 017; Zhensen Wu; Jiaji Wu; Gwanggil Jeon; Liwen Ma (Sensors, 2018)

Deep learning for inversion of significant wave height based on actual sea surface backscattering coefficient model. - Tao Wu 017; Yunhua Cao; Zhensen Wu; Jiaji Wu; Tan Qu; Jin-Peng Zhang (Multim. Tools Appl., 2020)

Research on Sea Clutter Reflectivity Using Deep Learning Model in Industry 4.0. - Liwen Ma; Jiaji Wu; Jinpeng Zhang; Zhensen Wu; Gwanggil Jeon; Yushi Zhang; Tao Wu 017 (IEEE Trans. Ind. Informatics, 2020)

GPU-Accelerated Computation of EM Scattering of a Time-Evolving Oceanic Surface Model II: EM Scattering of Actual Oceanic Surface. - Longxiang Linghu; Jiaji Wu; Zhensen Wu; Gwanggil Jeon; Tao Wu 017 (Remote. Sens., 2022)

Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects. - Kai Yang 014; Xing Guo; Zhensen Wu; Jiaji Wu; Tao Wu 017; Kun Zhao; Tan Qu; Longxiang Linghu (Remote. Sens., 2022)

Prediction of Sea Surface Reflectivity under Different Sea Conditions Based on the Clustering of Marine Environmental Parameters. - Yalan Li; Liwen Ma; Yushi Zhang; Tao Wu 017; Jinpeng Zhang; Haiying Li (Remote. Sens., 2023)

Joint Prediction of Sea Clutter Amplitude Distribution Based on a One-Dimensional Convolutional Neural Network with Multi-Task Learning. - Longshuai Wang; Liwen Ma; Tao Wu 017; Jiaji Wu; Xiang Luo (Remote. Sens., 2024)