Effect of multicollinearity in assessing the compaction and strength parameters of lime-treated expansive soil using artificial intelligence techniques

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(1)

Опубликована: Ноя. 18, 2024

Язык: Английский

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Prediction of swelling pressure of expansive soil using machine learning methods

Asian Journal of Civil Engineering, Год журнала: 2024, Номер unknown

Опубликована: Окт. 21, 2024

Язык: Английский

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Prediction of peak particle velocity using hybrid random forest approach

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 28, 2024

Blasting excavation is widely used in mining, tunneling and construction industries, but it leads to produce ground vibration which can seriously damage the urban communities. The peak particle velocity (PPV) one of main indicators for determining extent vibration. Owing complexity blasting process, there controversy over parameters will be considered as inputs empirical equations machine learning (ML) algorithms. According current researches, burden has controversial impact on blast-induced To judge whether affects vibration, data considering have been recorded at Wujiata coal mine. Correlation coefficient analyze relationship between variables, correlation distance from center monitored point (R) greatest value - 0.67. This study firstly summarizes most common equations, a new equation established by dimension analysis. shows better performance predicting PPV than other regression Secondly, confirmed applicability PPV. Based assessments, error characteristic curve Uncertainty analysis first round PPV, random forest (RF) K-Nearest Neighbors (KNN) show four Then, second round, based artithmetic optimization algorithm (AOA), optimized (AOA-RF) model accurate compared with (AOA-KNN) presented literature. Finally, points predicted informed danger are marked Chinese safety regulations blasting.

Язык: Английский

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Machine learning-based identification of critical factors for cadmium accumulation in rice grains

Environmental Geochemistry and Health, Год журнала: 2024, Номер 47(1)

Опубликована: Ноя. 28, 2024

Язык: Английский

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Assessment of resilient modulus of soil using hybrid extreme gradient boosting models

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 30, 2024

Accurate estimation of the soil resilient modulus (M

Язык: Английский

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