Hoang Nguyen

Civil and Structural Engineering · Engineering computations · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 34 citations into it
• Artificial Intelligence — 30 citations into it
• Building and Construction — 17 citations into it
• Mechanics of Materials — 12 citations into it; #1,838 of 6,291 by trust here, #4,794 by citations
• Ocean Engineering — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Environmental Engineering — 9 citations into it
• Global and Planetary Change — 8 citations into it

Whom Hoang Nguyen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ethem Alpaydin
2. Julian D. Olden
3. Dervis Karaboga
4. Fan Zhang
5. Jerome H. Friedman
6. Shan Suthaharan
7. R. Eberhart
8. Athanasios Tsanas
9. Corinna Cortes
10. Panagiotis G. Asteris

Who trusts Hoang Nguyen overall

1. L. Le
2. Jin Duan
3. Panagiotis G. Asteris
4. Jie Dou
5. Xuan-Nam Bui
6. Jian Zhou

Papers from Hoang Nguyen's perspective

Ordered by how strongly the researchers Hoang Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Introduction to Genetic Algorithms.
2. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
3. Stochastic gradient boosting
4. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
5. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic… (Landslides)
6. An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
7. A new optimizer using particle swarm theory
8. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm…
9. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
10. Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam (SN Applied Sciences)

Their papers

• A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning (2019) — 298 citations
• Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate (2021) — 297 citations
• Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization (2020) — 67 citations
• A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model (2020) — 322 citations
• Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach (2019) — 67 citations
• Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam (2019) — 53 citations
• Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest (2018) — 187 citations