Enhancement of Signal-to-Noise Ratio of Void Detection Signals in Concrete-Filled Steel Tubular Structures Using the Good Point Set and Vibrational Snow Ablation Optimizer
- DOI
- 10.3390/s26134261
- Published
- 2026-07-04
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26134261,
title = {Enhancement of Signal-to-Noise Ratio of Void Detection Signals in Concrete-Filled Steel Tubular Structures Using the Good Point Set and Vibrational Snow Ablation Optimizer},
author = {Gen He and Zhongchu Tian and Fanbo Guo and Jiaqi Chen and Binlin Xu},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26134261},
url = {https://doi.org/10.3390/s26134261}
}RIS
TY - JOUR TI - Enhancement of Signal-to-Noise Ratio of Void Detection Signals in Concrete-Filled Steel Tubular Structures Using the Good Point Set and Vibrational Snow Ablation Optimizer AU - Gen He AU - Zhongchu Tian AU - Fanbo Guo AU - Jiaqi Chen AU - Binlin Xu PY - 2026 JO - Sensors DO - 10.3390/s26134261 UR - https://doi.org/10.3390/s26134261 ER -
APA
He, G., Tian, Z., Guo, F., Chen, J., & Xu, B. (2026). Enhancement of Signal-to-Noise Ratio of Void Detection Signals in Concrete-Filled Steel Tubular Structures Using the Good Point Set and Vibrational Snow Ablation Optimizer. Sensors. https://doi.org/10.3390/s26134261
Source records
- crossref · retrieved 2026-09-27T07:46:45.338Z