A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix

Research article (Advanced Engineering Informatics, 2023) · cited 20× · AI/ML
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A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix

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A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-approach-for-optimizing-deep-excavation-safety-measures-based-on-bayesian-network-and-design-structure-matrix
MLA “A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-approach-for-optimizing-deep-excavation-safety-measures-based-on-bayesian-network-and-design-structure-matrix.
BibTeX @misc{4ortxyz_a-hybrid-approach-for-optimizing-deep-excavation-safety-measures-based-on-bayesian-network-and-design-structure-matrix_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid approach for optimizing deep excavation safety measures based on Bayesian network and design structure matrix}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-approach-for-optimizing-deep-excavation-safety-measures-based-on-bayesian-network-and-design-structure-matrix}, note = {Accessed: 2026-05-24}}
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