Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rongfan Li"'
Autor:
Quanjiang Lv, Rongfan Li, Liangchao Fan, Zhi Huang, Zhenyu Huan, Mingyang Yu, Haohua Li, Guiwu Liu, Guanjun Qiao, Junlin Liu
Publikováno v:
Sensors, Vol 23, Iss 20, p 8413 (2023)
PbS films grown on quartz substrates by the chemical bath deposition method were annealed in an O2 atmosphere to investigate the role of oxygen in the sensitization process at different annealing temperatures. The average grain size of the PbS films
Externí odkaz:
https://doaj.org/article/a835e9048b374d728b41e9839abc37ee
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1919 (2022)
Landslides are among the most common geological hazards that result in considerable human and economic losses globally. Researchers have put great efforts into addressing the landslide prediction problem for decades. Previous methods either focus on
Externí odkaz:
https://doaj.org/article/7b375de419e040c0ad18e6b981160dab
Autor:
Quanjiang Lv, Yiwei Cao, Rongfan Li, Ju Liu, Tianpeng Yang, Tingting Mi, Xiaowen Wang, Wei Liu, Junlin Liu
Publikováno v:
physica status solidi (a).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4725-4733
Landslides refer to occurrences of massive ground movements due to geological (and meteorological) factors, and can have disastrous impact on property, economy, and even lead to loss of life. The advances of remote sensing provide accurate and contin
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15033-15040
We introduce a slope-aware graph neural network (SA-GNN) to leverage continuously monitored data and predict the land displacement. Unlike general GNNs tackling tasks in the plain graphs, our method is capable of generalizing 3D spatial knowledge fro
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:13001-13002
The development of InSAR (satellite Interferometric Synthetic Aperture Radar) enables accurate monitoring of land surface deformations, and has led to advances of deformation forecast for preventing landslide, which is one of the severe geological di
Publikováno v:
Journal of Systems and Software. 180:111011
Program semantic properties such as class names, method names, and variable names and types play an important role in software development and maintenance. Method names are of particular importance because they provide the cornerstone of abstraction