Deep Neural Network-Based Data Reconstruction for Landslide Detection
Author:
Affiliation:
1. National Chung Cheng University, Computer Science and Information Engineering,Minxiong Township,Chiayi County,Taiwan,62102
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9323073/9323063/09323124.pdf?arnumber=9323124
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Tree Boosting Methods Comparison for Landslide Susceptibility Maps, Case Study: Kejajar, Wonosobo;2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2023-07-13
2. Deep Learning in Landslide Studies: A Review;Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022;2023
3. Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection;International Journal of Data Science and Analytics;2022-09-03
4. Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network;IEEE Access;2022
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