Evaluation of river water quality index using remote sensing and artificial intelligence models

M Najafzadeh, S Basirian - Remote Sensing, 2023 - mdpi.com
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 …

A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique

R Kumar, B Rai, P Samui - Structural Concrete, 2023 - Wiley Online Library
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 …

[HTML][HTML] Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications

MA Haque, KH Nahin, JH Nirob, MK Ahmed… - Results in …, 2024 - Elsevier
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 …

Bearing capacity of ring footings in anisotropic clays: FELA and ANN

DK Nguyen, TP Nguyen, C Ngamkhanong… - Neural Computing and …, 2023 - Springer
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 …

[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 …

Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay

K Sang**da, DR Kumar, S Keawsawasvong… - … in Engineering Software, 2024 - Elsevier
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 …

Machine learning regression approach for analysis of bearing capacity of conical foundations in heterogenous and anisotropic clays

C Nguyen Van, S Keawsawasvong, DK Nguyen… - Neural Computing and …, 2023 - Springer
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 …

Stability analysis of buried pipelines under combined uplift and lateral forces using FELA and ANN

K Kounlavong, JT Chavda, P Jamsawang… - Applied Ocean …, 2023 - Elsevier
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 …

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 …

[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 …