Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Influence of data splitting on performance of machine learning models in prediction of shear strength of soil
The main objective of this study is to evaluate and compare the performance of different
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
[HTML][HTML] Machine learning for property prediction and optimization of polymeric nanocomposites: a state-of-the-art
E Champa-Bujaico, P García-Díaz… - International Journal of …, 2022 - mdpi.com
Recently, the field of polymer nanocomposites has been an area of high scientific and
industrial attention due to noteworthy improvements attained in these materials, arising from …
industrial attention due to noteworthy improvements attained in these materials, arising from …
[HTML][HTML] Soft computing ensemble models based on logistic regression for groundwater potential mapping
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
[HTML][HTML] A sensitivity and robustness analysis of GPR and ANN for high-performance concrete compressive strength prediction using a Monte Carlo simulation
This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
Feature wise normalization: An effective way of normalizing data
This paper presents a novel Feature Wise Normalization approach for the effective
normalization of data. In this approach, each feature is normalized independently with one of …
normalization of data. In this approach, each feature is normalized independently with one of …
Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive …
Foamed concrete (FC) shows advantageous applications in civil engineering, such as
reduction in dead loads, contribution to energy conservation, or decrease the construction …
reduction in dead loads, contribution to energy conservation, or decrease the construction …
[HTML][HTML] Groundwater potential mapping combining artificial neural network and real AdaBoost ensemble technique: the DakNong province case-study, Vietnam
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
[HTML][HTML] A comparative study of kernel logistic regression, radial basis function classifier, multinomial naïve bayes, and logistic model tree for flash flood susceptibility …
Risk of flash floods is currently an important problem in many parts of Vietnam. In this study,
we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial …
we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial …
[HTML][HTML] Optimization of artificial intelligence system by evolutionary algorithm for prediction of axial capacity of rectangular concrete filled steel tubes under …
Concrete filled steel tubes (CFSTs) show advantageous applications in the field of
construction, especially for a high axial load capacity. The challenge in using such structure …
construction, especially for a high axial load capacity. The challenge in using such structure …