35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
Predicting the saturated hydraulic conductivity of soils: a review
RP Chapuis - Bulletin of engineering geology and the environment, 2012 - Springer
This paper examines and assesses predictive methods for the saturated hydraulic
conductivity of soils. The soil definition is that of engineering. It is not that of soil science and …
conductivity of soils. The soil definition is that of engineering. It is not that of soil science and …
Prediction of cost and duration of building construction using artificial neural network
JA Ujong, EM Mbadike, GU Alaneme - Asian Journal of Civil Engineering, 2022 - Springer
In this research study, the investigation of building details on the construction project cost
and duration using artificial neural networks (ANNs) which possesses the ability to …
and duration using artificial neural networks (ANNs) which possesses the ability to …
Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity
The knowledge of the unsaturated hydraulic conductivity (K) is very essential for the various
fields of water resources, irrigation, and hydrology. It is also important to know the …
fields of water resources, irrigation, and hydrology. It is also important to know the …
The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions
This study deals with development of artificial neural network (ANN) and multiple regression
(MR) models that can be employed for estimating the critical factor of safety (Fs) value of …
(MR) models that can be employed for estimating the critical factor of safety (Fs) value of …
Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models
Understanding streamflow patterns by incorporating climate signal information can
contribute remarkably to the knowledge of future local environmental flows. Three machine …
contribute remarkably to the knowledge of future local environmental flows. Three machine …
[HTML][HTML] Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity
Hydraulic conductivity of soil reveals its influencing role in the studies related to
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …
A comparison of Gaussian process and M5P for prediction of soil permeability coefficient
The permeability coefficient (k) of soil is one of the most important parameters affecting soil
characteristics such as shear strength or settlement. Thus, determining soil permeability …
characteristics such as shear strength or settlement. Thus, determining soil permeability …
Artificial intelligence in geotechnical engineering: applications, modeling aspects, and future directions
MA Shahin - Metaheuristics in water, geotechnical and transport …, 2013 - books.google.com
Geotechnical engineering deals with materials (eg, soil and rock) that, by their very nature,
exhibit varied and uncertain behavior due to the imprecise physical processes associated …
exhibit varied and uncertain behavior due to the imprecise physical processes associated …
Comparative study of hybrid artificial intelligence approaches for predicting hangingwall stability
Five hybrid artificial intelligence (AI) approaches based on machine learning (ML) and
metaheuristic algorithms were proposed to predict open stope hangingwall (HW) stability …
metaheuristic algorithms were proposed to predict open stope hangingwall (HW) stability …