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Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique
Research article (Asian Journal of Civil Engineering, 2023) · cited 30× · AI/ML
Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique
Summary
Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique is a scholarly article[1].
Key Facts
Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-machine-learning-algorithms-for-predicting-compressive-strength-of-concrete-with-mineral-admixture-using-long
MLA“Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-machine-learning-algorithms-for-predicting-compressive-strength-of-concrete-with-mineral-admixture-using-long.
BibTeX@misc{4ortxyz_evaluating-machine-learning-algorithms-for-predicting-compressive-strength-of-concrete-with-mineral-admixture-using-long_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-machine-learning-algorithms-for-predicting-compressive-strength-of-concrete-with-mineral-admixture-using-long}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique — https://4ort.xyz/entity/evaluating-machine-learning-algorithms-for-predicting-compressive-strength-of-concrete-with-mineral-admixture-using-long (retrieved 2026-05-24)
