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Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines
Research article (Tunnelling and Underground Space Technology, 2023) · cited 21× · AI/ML
Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines
Summary
Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines is a scholarly article[1].
Key Facts
Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-fluidsolid-coupling-domain-knowledge-with-deep-learning-models-an-automatic-and-interpretable-diagnostic-sys
MLA“Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-fluidsolid-coupling-domain-knowledge-with-deep-learning-models-an-automatic-and-interpretable-diagnostic-sys.
BibTeX@misc{4ortxyz_integrating-fluidsolid-coupling-domain-knowledge-with-deep-learning-models-an-automatic-and-interpretable-diagnostic-sys_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-fluidsolid-coupling-domain-knowledge-with-deep-learning-models-an-automatic-and-interpretable-diagnostic-sys}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines — https://4ort.xyz/entity/integrating-fluidsolid-coupling-domain-knowledge-with-deep-learning-models-an-automatic-and-interpretable-diagnostic-sys (retrieved 2026-05-24)