Van Quan Tran

Civil and Structural Engineering · 2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 21 citations into it

Whom Van Quan Tran trusts overall

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

1. Ali Behnood
2. Leo Breiman

Papers from Van Quan Tran's perspective

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

1. Random Forests
2. Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm
3. A working guide to boosted regression trees.
4. Extreme learning machine: Theory and applications
5. Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (Expert systems with applications)
6. Using Deep Learning for Image-Based Plant Disease Detection
7. A survey of machine learning for big data processing
8. Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees
9. Concrete compressive strength using artificial neural networks (Neural computing & applications (Print))
10. Monte Carlo Simulations of Mesoscale Fracture of Concrete with Random Aggregates and Pores: a Size Effect Study

Their papers

• Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil (2021) — 583 citations
• Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model (2021) — 83 citations