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Hossein Moayedi, Dieu Tien Bui, Anastasios Dounis, Loke Kok Foong and Bahareh Kalantar
This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of sand, percentage of loam, percenta...
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Hossein Moayedi, Dieu Tien Bui, Bahareh Kalantar and Loke Kok Foong
In this paper, the authors investigated the applicability of combining machine-learning-based models toward slope stability assessment. To do this, several well-known machine-learning-based methods, namely multiple linear regression (MLR), multi-layer pe...
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Hossein Moayedi, Bahareh Kalantar, Loke Kok Foong, Dieu Tien Bui and Alireza Motevalli
Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of concrete slump prediction. Two we...
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