Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China.
Earth Sci. Informatics, April, 2024
Towards mental load assessment for high-risk works driven by psychophysiological data: Combining a 1D-CNN model with random forest feature selection.
Biomed. Signal Process. Control., 2024
GaussML: An End-to-End In-Database Machine Learning System.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
A Deep Reinforcement Learning-Based Framework for PolSAR Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China.
ISPRS Int. J. Geo Inf., 2021
Fully Polarized SAR imagery Classification Based on Deep Reinforcement Learning Method Using Multiple Polarimetric Features.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Polsar Image Crop Classification Based on Deep Residual Learning Network.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018
A Gas Monitoring and Control System in a Coal and Gas Outburst Laboratory.
J. Sensors, 2014
Research on Eddy Air-Curtain Dust Controlled Flow Field in Hard Rock Mechanized Driving Face.
J. Networks, 2013