Home ›
Entities
› academia
› A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations
A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations
Research article (Expert Systems with Applications, 2023) · cited 16× · AI/ML
A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations
Summary
A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations is a scholarly article[1].
Key Facts
A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-data-driven-optimization-framework-for-unsupervised-and-multivariate-early-warning-threshold-modification-in-ris
MLA“A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-data-driven-optimization-framework-for-unsupervised-and-multivariate-early-warning-threshold-modification-in-ris.
BibTeX@misc{4ortxyz_a-novel-data-driven-optimization-framework-for-unsupervised-and-multivariate-early-warning-threshold-modification-in-ris_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-data-driven-optimization-framework-for-unsupervised-and-multivariate-early-warning-threshold-modification-in-ris}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations — https://4ort.xyz/entity/a-novel-data-driven-optimization-framework-for-unsupervised-and-multivariate-early-warning-threshold-modification-in-ris (retrieved 2026-05-24)