A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms
In this study, gene expression programming (GEP) and multi gene expression programming
(MEP) are utilized to formulate new prediction models for determining the compaction …
(MEP) are utilized to formulate new prediction models for determining the compaction …
Effective use of recycled waste PET in cementitious grouts for develo** sustainable semi-flexible pavement surfacing using artificial neural network (ANN)
The effective way of recycling waste polyethylene terephthalate (PET) by exposing it to
gamma rays, is adopted in formulating the compositions of cementitious grouts for semi …
gamma rays, is adopted in formulating the compositions of cementitious grouts for semi …
CBR prediction of pavement materials in unsoaked condition using LSSVM, LSTM-RNN, and ANN approaches
The present research introduces the best architecture model for predicting the unsoaked
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
Evaluation of tensile strength degradation of GFRP rebars in harsh alkaline conditions using non-linear genetic-based models
Glass fiber reinforced polymer (GFRP) rebars reinforced in concrete are susceptible to
degradation in harsh alkaline environments such as moist reinforced concrete and seawater …
degradation in harsh alkaline environments such as moist reinforced concrete and seawater …
Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression
The present research employs the models based on the relevance vector machine (RVM)
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms
This study investigates the non-linearity of GFRP degradation in terms of tensile strength
retention (TSR) encompassing five input variables (ie, diameter of GFRP rebar, volume …
retention (TSR) encompassing five input variables (ie, diameter of GFRP rebar, volume …
A comprehensive GEP and MEP analysis of a cement-based concrete containing metakaolin
Due to the detrimental environmental consequence of cement formation, studies has
concentrated on decreasing the environmental influence and expense of cement containing …
concentrated on decreasing the environmental influence and expense of cement containing …
Performance evaluation of plastic concrete modified with e-waste plastic as a partial replacement of coarse aggregate
Plastic electronic waste (E-waste) is constantly growing around the world owing to the rapid
increase in industrialization, urbanization, and population. The current annual production …
increase in industrialization, urbanization, and population. The current annual production …
Scheffe's simplex optimization of flexural strength of quarry dust and sawdust ash pervious concrete for sustainable pavement construction
Pervious concrete provides a tailored surface course with high permeability properties which
permit the easy flow of water through a larger interconnected porous structure to prevent …
permit the easy flow of water through a larger interconnected porous structure to prevent …