Machine Learning-Based Remote Sensing Inversion of Non-Photosynthetic/Photosynthetic Vegetation Coverage in Desertified Areas and Its Response to Drought Analysis.
Remote. Sens., September, 2024
Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China.
Remote. Sens., August, 2023
Research on the Influence of Intelligent Manufacturing on R&D Efficiency of Manufacturing Enterprises-Based on the Quasi-Natural Experiment of China's Intelligent Manufacturing Demonstration Project.
Proceedings of the Modern Management Based on Big Data IV, 2023
Intelligent Decision Making Algorithm Based On Hybrid Cuckoo Algorithm and Deep Learning.
Proceedings of the 2023 International Conference on Computer, 2023
Monitoring Desertification Using Machine-Learning Techniques with Multiple Indicators Derived from MODIS Images in Mu Us Sandy Land, China.
Remote. Sens., 2022
Low-cost Underwater Inspection Robot Based on Deep Learning.
Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022
Biomass and vegetation coverage survey in the Mu Us sandy land - based on unmanned aerial vehicle RGB images.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Comparison of the backpropagation network and the random forest algorithm based on sampling distribution effects consideration for estimating nonphotosynthetic vegetation cover.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Spectral Response Assessment of Moss-Dominated Biological Soil Crust Coverage Under Dry and Wet Conditions.
Remote. Sens., 2020
TauJud: test augmentation of machine learning in judicial documents.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020
A New Application of Random Forest Algorithm to Estimate Coverage of Moss-Dominated Biological Soil Crusts in Semi-Arid Mu Us Sandy Land, China.
Remote. Sens., 2019
A Content-Based Recommendation Framework for Judicial Cases.
Proceedings of the Data Science, 2019