DOI: https://doi.org/10.58845/jstt.utt.en.2022.2

Published: 2022-03-28

Articles

Optimizing the architecture of the artificial neural network by genetic algorithm to improve the predictability of pile bearing capacity based on CPT results

Tuan Anh Pham, Huong-Lan Thi Vu

1-8

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Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization

Marijana Hadzima-Nyarko, Son Hoang Trinh

9-21

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Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted

Anh-Tuan Tran, Thanh-Hai Le, May Huu Nguyen

44-56

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Prediction and sensitivity analysis of self compacting concrete slump flow by random forest algorithm

Raghvendra Kumar, Hai-Van Thi Mai

32-43

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Application of an artificial neural network and QCM sensor coated with γ-Fe2O3 nanoparticles for estimation of SO2 gas sensing characteristics

Nguyen Thanh Vinh, Tran Quoc Tuan, Nguyen Van Cuong, Cao Xuan Truong, Nguyen Van Quy

22-31

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