15 citations as recorded by crossref.

1. Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions R. Xiong et al. 10.1021/acs.est.2c02232
2. Deep learning methods for flood mapping: a review of existing applications and future research directions R. Bentivoglio et al. 10.5194/hess-26-4345-2022
3. Raspberry Pi Reflector (RPR): A Low‐Cost Water‐Level Monitoring System Based on GNSS Interferometric Reflectometry M. Karegar et al. 10.1029/2021WR031713
4. Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland R. Szczepanek et al. 10.1016/j.ijdrr.2022.102942
5. Eye of Horus: a vision-based framework for real-time water level measurement S. Erfani et al. 10.5194/hess-27-4135-2023
6. Application of Closed-Circuit Television Image Segmentation for Irrigation Channel Water Level Measurement K. Kim & J. Choi 10.3390/w15183308
7. Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆ P. Malekzadeh et al. 10.1016/j.neucom.2023.01.076
8. A Review of Non-Contact Water Level Measurement Based on Computer Vision and Radar Technology Z. Wu et al. 10.3390/w15183233
9. Robust water level measurement method based on computer vision D. Zhang & J. Tong 10.1016/j.jhydrol.2023.129456
10. A review of video‐based rainfall measurement methods K. Yan et al. 10.1002/wat2.1678
11. Calibrated river-level estimation from river cameras using convolutional neural networks R. Vandaele et al. 10.1017/eds.2023.6
12. Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera N. Muhadi et al. 10.3390/app11209691
13. Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection F. Fernandes Junior et al. 10.3390/s21227506
14. Assessment of a Machine Learning Algorithm Using Web Images for Flood Detection and Water Level Estimates M. Tedesco & J. Radzikowski 10.3390/geohazards4040025
15. Deep transfer learning for groundwater flow in heterogeneous aquifers using a simple analytical model J. Zhang et al. 10.1016/j.jhydrol.2023.130293