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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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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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Dinh-Hieu Vu, Hoang-Bac Bui, Bahareh Kalantar, Xuan-Nam Bui, Dinh-An Nguyen, Qui-Thao Le, Ngoc-Hoan Do and Hoang Nguyen
Coal-fired power stations are one of the primary sources of power generation in the world. This will produce considerable amounts of fly ash from these power stations each year. To highlight the potential environmental hazards of these materials, this st...
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