A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency
The development of machine learning-based ensemble models for the prediction of complex
processes with non-linear nature (such as adsorption) has been remarkably advanced over …
processes with non-linear nature (such as adsorption) has been remarkably advanced over …
A survey on applications of artificial intelligence for pre-parametric project cost and soil shear-strength estimation in construction and geotechnical engineering
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …
very crucial and preliminary aspect of any construction project. Similarly, building strong …
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] Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
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 …
Estimation of rapid chloride permeability of SCC using hyperparameters optimized random forest models
DM Ge, LC Zhao, M Esmaeili-Falak - Journal of Sustainable …, 2023 - Taylor & Francis
Discovering concrete properties takes time, money, laboratory design, material preparation,
and testing with adequate equipment at the right ages. As a consequence, in the concrete …
and testing with adequate equipment at the right ages. As a consequence, in the concrete …
InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression
Global sea-level rise due to climate change is a critical problem for coastal cities. One of the
coastal cities in Indonesia, Semarang, is in danger of being submerged by seawater due to …
coastal cities in Indonesia, Semarang, is in danger of being submerged by seawater due to …
[HTML][HTML] A swarming neural network computing approach to solve the Zika virus model
In this work, a swarming computational procedure is presented for the numerical treatment of
the dynamical model of the susceptible, exposed, infected, and recovered (SEIR) classes …
the dynamical model of the susceptible, exposed, infected, and recovered (SEIR) classes …
Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO …
Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines
and buildings has been widely reported in recent earthquakes. Although it is impossible to …
and buildings has been widely reported in recent earthquakes. Although it is impossible to …