Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
Influence of data splitting on performance of machine learning models in prediction of shear strength of soil
The main objective of this study is to evaluate and compare the performance of different
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …
type mining method, which directly affects whether workers can be provided with a safe and …
Ensemble extreme gradient boosting based models to predict the bearing capacity of micropile group
M Esmaeili-Falak, RS Benemaran - Applied Ocean Research, 2024 - Elsevier
In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
Prediction of pile bearing capacity using XGBoost algorithm: modeling and performance evaluation
M Amjad, I Ahmad, M Ahmad, P Wróblewski… - Applied Sciences, 2022 - mdpi.com
The major criteria that control pile foundation design is pile bearing capacity (Pu). The load
bearing capacity of piles is affected by the various characteristics of soils and the …
bearing capacity of piles is affected by the various characteristics of soils and the …
Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials
VQ Tran - Construction and Building Materials, 2022 - Elsevier
Chloride diffusion coefficient is an important durability indicator in durability design of
concrete structure according to performance-based approach. However, this indicator is …
concrete structure according to performance-based approach. However, this indicator is …
Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators
The paper observes the dependence of the main macroeconomic indicators in developing
countries from the change in world prices for crude oil. We analyzed a system of …
countries from the change in world prices for crude oil. We analyzed a system of …
Multiple-input deep convolutional neural network model for covid-19 forecasting in china
COVID-19 is spreading all across the globe. Up until March 23, 2020, the confirmed cases in
173 countries and regions of the globe had surpassed 346,000, and more than 14,700 …
173 countries and regions of the globe had surpassed 346,000, and more than 14,700 …
[HTML][HTML] CO2 emissions integrated fuzzy model: A case of seven emerging economies
This paper proposes a new model to study carbon emission issues in seven emerging (E7)
economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs …
economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs …