Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments

Research article (Journal of Environmental Management, 2023) · cited 18× · AI/ML
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Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments

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Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-effective-ways-to-increase-reliable-positive-samples-for-machine-learning-based-urban-waterlogging-susceptibil
MLA “Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-effective-ways-to-increase-reliable-positive-samples-for-machine-learning-based-urban-waterlogging-susceptibil.
BibTeX @misc{4ortxyz_exploring-effective-ways-to-increase-reliable-positive-samples-for-machine-learning-based-urban-waterlogging-susceptibil_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring effective ways to increase reliable positive samples for machine learning-based urban waterlogging susceptibility assessments}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-effective-ways-to-increase-reliable-positive-samples-for-machine-learning-based-urban-waterlogging-susceptibil}, note = {Accessed: 2026-05-24}}
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