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Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost

Research article (IEEE Access, 2023) · cited 14× · AI/ML
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Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost

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Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-parameter-maximum-corrosion-depth-prediction-model-for-buried-pipelines-based-on-gscv-xgboost
MLA “Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-parameter-maximum-corrosion-depth-prediction-model-for-buried-pipelines-based-on-gscv-xgboost.
BibTeX @misc{4ortxyz_multi-parameter-maximum-corrosion-depth-prediction-model-for-buried-pipelines-based-on-gscv-xgboost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/multi-parameter-maximum-corrosion-depth-prediction-model-for-buried-pipelines-based-on-gscv-xgboost}, note = {Accessed: 2026-05-24}}
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