Home ›
Entities
› academia
› Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads
Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads
Research article (Buildings, 2023) · cited 19× · AI/ML
Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads
Summary
Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads is a scholarly article[1].
Key Facts
Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads'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). Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-hybrid-machine-learning-models-for-predicting-permanent-transverse-displacement-of-circular-hollow-sectio
MLA“Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-hybrid-machine-learning-models-for-predicting-permanent-transverse-displacement-of-circular-hollow-sectio.
BibTeX@misc{4ortxyz_development-of-hybrid-machine-learning-models-for-predicting-permanent-transverse-displacement-of-circular-hollow-sectio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-hybrid-machine-learning-models-for-predicting-permanent-transverse-displacement-of-circular-hollow-sectio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads — https://4ort.xyz/entity/development-of-hybrid-machine-learning-models-for-predicting-permanent-transverse-displacement-of-circular-hollow-sectio (retrieved 2026-05-24)
