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Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives
Research article (Multiscale and Multidisciplinary Modeling Experiments and Design, 2025) · cited 11× · AI/ML
Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives
Summary
Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives is a scholarly article[1].
Key Facts
Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives's instance of is recorded as scholarly article[2].
References
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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). Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-hybrid-regularization-techniques-for-predicting-unconfined-compressive-strength-of-soil-reinforce
MLA“Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-hybrid-regularization-techniques-for-predicting-unconfined-compressive-strength-of-soil-reinforce.
BibTeX@misc{4ortxyz_machine-learning-based-hybrid-regularization-techniques-for-predicting-unconfined-compressive-strength-of-soil-reinforce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-hybrid-regularization-techniques-for-predicting-unconfined-compressive-strength-of-soil-reinforce}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives — https://4ort.xyz/entity/machine-learning-based-hybrid-regularization-techniques-for-predicting-unconfined-compressive-strength-of-soil-reinforce (retrieved 2026-05-24)
