A hyperspectral evaluation approach for quantifying salt-induced weathering of sandstone
H Yang, C Chen, J Ni, S Karekal - Science of The Total Environment, 2023 - Elsevier
Salt-induced weathering is a common phenomenon in stone relics, and its traditional
artificial evaluation of severity is greatly affected by subjective consciousness and lacks …
artificial evaluation of severity is greatly affected by subjective consciousness and lacks …
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Overbreak is a detrimental phenomenon caused by tunnel blasting, which can lead to
increased time and cost in the construction schedule. It is very important to establish a model …
increased time and cost in the construction schedule. It is very important to establish a model …
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …
construction industry. It is one of the most common factors impacting structural deterioration …
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments
Y Ge, G Zhang, MN Meqdad, S Chen - Artificial Intelligence in Medicine, 2023 - Elsevier
Healthcare needs in rural areas differ significantly from those in urban areas. Addressing the
healthcare challenges in rural communities is of paramount importance, as these regions …
healthcare challenges in rural communities is of paramount importance, as these regions …
Application of artificial intelligence technique in optimization and prediction of the stability of the walls against wind loads in building design
D Hu, H Sun, P Mehrabi, YA Ali… - Mechanics of Advanced …, 2024 - Taylor & Francis
The present study is done to perform the optimal design of the structural components of the
buildings against the unwanted wind load exerted on their outer face. To this end, the case …
buildings against the unwanted wind load exerted on their outer face. To this end, the case …
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Abstract Tunnel Boring Machines (TBMs) have been increasingly used in tunnelling
projects. Forecasting future TBM performance would be desirable for project time …
projects. Forecasting future TBM performance would be desirable for project time …
Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms
In this study, artificial intelligence algorithms are proposed for estimating the compressive
strength of hollow concrete block masonry prisms, including neural networks (ANN) …
strength of hollow concrete block masonry prisms, including neural networks (ANN) …
Review of applicable outlier detection methods to treat geomechanical data
The reliability of geomechanical models and engineering designs depend heavily on high-
quality data. In geomechanical projects, collecting and analyzing laboratory data is crucial in …
quality data. In geomechanical projects, collecting and analyzing laboratory data is crucial in …
A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction
Accurate prediction of thrust and torque plays a crucial role in the control parameters
optimization and intelligent tunneling of tunnel boring machines (TBMs). Currently …
optimization and intelligent tunneling of tunnel boring machines (TBMs). Currently …
Develo** bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Because of the complicated geometry and a lack of knowledge about the parameters that
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …