Open Access
| Issue |
E3S Web Conf.
Volume 630, 2025
2025 International Conference on Eco-environmental Protection, Environmental Monitoring and Remediation (EPEMR 2025)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 6 | |
| Section | Smart Technologies for Environmental Monitoring and Pollution Mitigation | |
| DOI | https://doi.org/10.1051/e3sconf/202563001018 | |
| Published online | 22 May 2025 | |
- Liu, X., Peng, Y., Yuan, Z., Tang, C., Huang, C. (2021) Modeling and application of high-density electrical method in dam leakage monitoring. Advances in Science and Technology of Water Resources, 41: 71-75. [Google Scholar]
- Zhu, L., Wang, H., Pan, J., Zhao, X., Wang, F. (2025) Simulation Detection Analysis of Multi-period Time-lapse High-density Resistivity Method Considering Leakage Development. Water Power, 51: 37-43. [Google Scholar]
- Zafar, W.A., Shakir, U., Ahmed, R., Ahmed, J., Khan, M.Y., Akhtar, S., et al. (2022) Gravity and electrical resistivity investigations to mark concealed seepage sources from kanjoor dam, pakistan. Arabian Journal of Geosciences, 15: 1-9. [CrossRef] [Google Scholar]
- Morales, M.D., Antelis, J.M., Moreno, C., Nesterov, A.I. (2021) Deep learning for gravitational-wave data analysis: a resampling white-box approach. Sensors, 21: 3174. [CrossRef] [PubMed] [Google Scholar]
- Gobiowski, T., Piwakowski, B., Wiklik, M., Bojarski, A. (2021) Application of combined geophysical methods for the examination of a water dam subsoil. Water, 13: 2981. [CrossRef] [Google Scholar]
- Chaudhuri, A., Rao, S.V., Singh, A., Kumar, M.P., Atta, D. (2024). A systematic approach to tuning a neural network model and its application in estimating layer parameters from ves schlumberger data. Journal of Earth System Science, 133: 1-18. [CrossRef] [Google Scholar]
- Zhu, G., Gao, M., Wang, B. (2023) A robust inversion of logging-while-drilling responses based on deep neural network. Acta Geophysica, 72: 129-139. [CrossRef] [Google Scholar]
- Hiskiawan, P., Chen, C.C., Ye, Z.K. (2023) Processing of electrical resistivity tomography data using convolutional neural network in ERT-NET architectures. Arabian Journal of Geosciences, 16: 581. [CrossRef] [Google Scholar]
- Dahlin, T., Loke, M.H. (1998) Resolution of 2D Wenner resistivity imaging as assessed by numerical modelling. Journal of applied geophysics, 38: 237-249. [CrossRef] [Google Scholar]
- Abbas, Y. M., Alghamdi, H. (2025) Semantic segmentation and deep CNN learning vision-based crack recognition system for concrete surfaces: development and implementation. Signal, Image and Video Processing, 19: 1-15. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.