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Evaluation of river water quality index using remote sensing and artificial intelligence models
To restrict the entry of polluting components into water bodies, particularly rivers, it is critical
to undertake timely monitoring and make rapid choices. Traditional techniques of assessing …
to undertake timely monitoring and make rapid choices. Traditional techniques of assessing …
A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique
Concrete which is the most commercialized construction material and thus it plays a key role
in this era of development and hence its evolution is of utmost importance and therefore the …
in this era of development and hence its evolution is of utmost importance and therefore the …
[HTML][HTML] Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications
Abstract Miniaturized Millimeter Wave (mm-wave) MIMO antenna arrays with an observed
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
Bearing capacity of ring footings in anisotropic clays: FELA and ANN
A novel investigation of the bearing capacity of ring footings embedded in undrained
anisotropic clays using a new hybrid soft computation technique that cooperates between …
anisotropic clays using a new hybrid soft computation technique that cooperates between …
[HTML][HTML] Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks
W Jitchaijaroen, S Keawsawasvong… - Intelligent Systems with …, 2024 - Elsevier
In underground space technology, the issue of tunnel stability is a fundamental concern that
significantly causes catastrophe. Owing to sedimentation and deposition processes, the …
significantly causes catastrophe. Owing to sedimentation and deposition processes, the …
Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay
The problem of trapdoor stability is a crucial problem in geotechnical engineering. This study
is the first to introduce novel neural network-based metaheuristic models for the stability …
is the first to introduce novel neural network-based metaheuristic models for the stability …
Machine learning regression approach for analysis of bearing capacity of conical foundations in heterogenous and anisotropic clays
An upper bound (UB) and lower bound (LB) finite element limit analysis cooperating with a
machine learning method is adopted as a new solution for predicting the bearing capacity of …
machine learning method is adopted as a new solution for predicting the bearing capacity of …
Stability analysis of buried pipelines under combined uplift and lateral forces using FELA and ANN
In this paper, the effective intelligent system based on artificial neural networks (ANNs) and
the finite element limit analysis (FELA) is developed to predict the undrained uplift capacity …
the finite element limit analysis (FELA) is developed to predict the undrained uplift capacity …
Undrained basal stability of braced circular excavations in anisotropic and non-homogeneous clays
K Kounlavong, S Keawsawasvong, R Banyong… - Transportation …, 2023 - Elsevier
This paper introduces the plastic stability solutions of braced circular excavations in
anisotropic and non–homogeneous clays. Using the framework of Finite Element Limit …
anisotropic and non–homogeneous clays. Using the framework of Finite Element Limit …
[HTML][HTML] Stability evaluation of elliptical tunnels in natural clays by integrating FELA and ANN
W Jitchaijaroen, W Wipulanusat… - Results in …, 2023 - Elsevier
The stability of tunnels in clayey soil is a major concern for underground space technology.
Clay has anisotropy in shear strength induced by depositional and sedimentation …
Clay has anisotropy in shear strength induced by depositional and sedimentation …