Hoang Nguyen
Orcid: 0000-0001-6122-8314Affiliations:
- Hanoi University of Mining Land Geology, Hanoi, Vietnam
According to our database1,
Hoang Nguyen
authored at least 37 papers
between 2019 and 2023.
Collaborative distances:
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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
Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams.
Eng. Comput., 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
Correction to: Estimating heavy metals absorption efficiency in an aqueous solution using nanotube-type halloysite from weathered pegmatites and a novel Harris hawks optimization-based multiple layers perceptron neural network.
Eng. Comput., 2022
Estimating heavy metals absorption efficiency in an aqueous solution using nanotube-type halloysite from weathered pegmatites and a novel Harris hawks optimization-based multiple layers perceptron neural network.
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 Harris hawks' optimization and k-fold cross-validation predicting slope stability.
Eng. Comput., 2021
Novel metaheuristic classification approach in developing mathematical model-based solutions predicting failure in shallow footing.
Eng. Comput., 2021
Nonlinear evolutionary swarm intelligence of grasshopper optimization algorithm and gray wolf optimization for weight adjustment of neural network.
Eng. Comput., 2021
Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils.
Eng. Comput., 2021
A novel artificial intelligence technique for analyzing slope stability using PSO-CA model.
Eng. Comput., 2021
Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil.
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
Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete.
Eng. Comput., 2021
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate.
Eng. Appl. Artif. Intell., 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
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier.
Remote. Sens., 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
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms.
ISPRS Int. J. Geo Inf., 2020
Feasibility of a novel predictive technique based on artificial neural network optimized with particle swarm optimization estimating pullout bearing capacity of helical piles.
Eng. Comput., 2020
Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system.
Eng. Comput., 2020
Eng. Comput., 2020
Prediction of ultimate bearing capacity through various novel evolutionary and neural network models.
Eng. Comput., 2020
Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system.
Eng. Comput., 2020
Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile.
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
A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams.
Appl. Soft Comput., 2020
2019
A Novel Swarm Intelligence - Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.
Sensors, 2019
Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques.
Sensors, 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
Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms.
Appl. Soft Comput., 2019