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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 …
Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey
H Citakoglu, Ö Coşkun - Environmental Science and Pollution Research, 2022 - Springer
Drought is a harmful natural disaster with various negative effects on many aspects of life. In
this research, short-term meteorological droughts were predicted with hybrid machine …
this research, short-term meteorological droughts were predicted with hybrid machine …
Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
A review of machine learning approaches to soil temperature estimation
Soil temperature is an essential factor for agricultural, meteorological, and hydrological
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …
[HTML][HTML] Measurement-based relationships between container ship operating parameters and fuel consumption
T Cepowski, A Drozd - Applied Energy, 2023 - Elsevier
Increases in fuel prices and the need to decrease emissions have made the optimization of
fuel consumption on ships more critical. Develo** a method to accurately estimate fuel …
fuel consumption on ships more critical. Develo** a method to accurately estimate fuel …
Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection
Predictions of Earth skin temperature (EST) can provide essential information for diverse
engineering applications such as energy harvesting and agriculture activities. Several …
engineering applications such as energy harvesting and agriculture activities. Several …
Interpretation the influence of hydrometeorological variables on soil temperature prediction using the potential of deep learning model
S Elsayed, M Gupta… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
The importance of soil temperature (ST) quantification can contribute to diverse ecological
modelling processes as well as for agricultural activities. Over the literature, it was evident …
modelling processes as well as for agricultural activities. Over the literature, it was evident …
Comparative analysis of machine learning models for predicting PM2. 5 concentrations using meteorological and chemical indicators
Air pollution significantly impacts human health, causing numerous premature deaths,
particularly with the rise in PM 2.5 concentrations. Therefore, comparing different machine …
particularly with the rise in PM 2.5 concentrations. Therefore, comparing different machine …
Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at …
S Shamshirband, F Esmaeilbeiki… - Engineering …, 2020 - Taylor & Francis
This research aims to model soil temperature (ST) using machine learning models of
multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with …
multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with …
Buckling load estimation using multiple linear regression analysis and multigene genetic programming method in cantilever beams with transverse stiffeners
Analytical methods cannot find the exact solution for inelastic lateral torsional buckling. This
study aims to develop innovative solutions by creating closed-form equations. A series of …
study aims to develop innovative solutions by creating closed-form equations. A series of …