Xuan-Nam Bui

Orcid: 0000-0001-5953-4902

Affiliations:
  • Hanoi University of Mining and Geology, Vietnam


According to our database1, Xuan-Nam Bui authored at least 18 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings.
Reliab. Eng. Syst. Saf., 2023

2022
Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms.
Reliab. Eng. Syst. Saf., 2022

A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm.
Eng. Comput., 2022

Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS-PSO-MLP model.
Eng. Comput., 2022

2021
Correction to: A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam.
Neural Comput. Appl., 2021

Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model.
Neural Comput. Appl., 2021

A novel artificial intelligence technique for analyzing slope stability using PSO-CA model.
Eng. Comput., 2021

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET.
Eng. Comput., 2021

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model.
Eng. Comput., 2021

Corrigendum to "A new soft computing model for estimating and controlling blast-produced ground vibration based on hierarchical K-means clustering and cubist algorithms" [Appl. Soft Comput. 77 (2019) 376-386].
Appl. Soft Comput., 2021

2020
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms.
Sensors, 2020

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam.
Neural Comput. Appl., 2020

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models.
Eng. Comput., 2020

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile.
Eng. Comput., 2020

Developing a predictive method based on optimized M5Rules-GA predicting heating load of an energy-efficient building system.
Eng. Comput., 2020

Optimizing Levenberg-Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis.
Eng. Comput., 2020

Soft computing models for predicting blast-induced air over-pressure: A novel artificial intelligence approach.
Appl. Soft Comput., 2020

2019
A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms.
Appl. Soft Comput., 2019


  Loading...