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Application of deep learning algorithms in geotechnical engineering: a short critical review
W Zhang, H Li, Y Li, H Liu, Y Chen, X Ding - Artificial Intelligence Review, 2021 - Springer
With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
W Zhang, X Gu, L Hong, L Han, L Wang - Applied Soft Computing, 2023 - Elsevier
Geotechnical reliability analysis provides a novel way to rationally take the underlying
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
Multi-objective optimization for improved project management: Current status and future directions
To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …
considered simultaneously due to the nature of complexity and uncertainty in construction …
[HTML][HTML] State-of-the-art review of soft computing applications in underground excavations
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …
model the complex behaviors of most geotechnical engineering systems since they have …
[HTML][HTML] Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification …
This study presents a framework for predicting geological characteristics based on
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …
[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …
learning methods to aid in engineering risk assessment. A keyword search is performed to …
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods
This paper presents a brief review on major accidents and conducts bibliometric analysis of
risk assessment methods for excavation system in recent year. The summarization of …
risk assessment methods for excavation system in recent year. The summarization of …
Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment
Excavation construction is a high-risk activity, where involves various aspects. Accurate
recognition of high-risk factors and implementation of countermeasures can greatly reduce …
recognition of high-risk factors and implementation of countermeasures can greatly reduce …
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 …
Assessment of pile drivability using random forest regression and multivariate adaptive regression splines
Driven pile is widely used as an effective and convenient structural component to transfer
superstructure loads to deep stiffer soils. Nevertheless, during the design process of piles …
superstructure loads to deep stiffer soils. Nevertheless, during the design process of piles …