Hai-Van Thi Mai
Civil and Structural Engineering · 2021
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 14 citations into it
Whom Hai-Van Thi Mai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Behnood
- Leo Breiman
- Emadaldin Mohammadi Golafshani
- A. Oner
- Trevor J. Hastie
- Cahit Bilim
- S. Akyuz
- Richard A. Olshen
- D. Panesar
- Cengiz Duran Atis
Papers from Hai-Van Thi Mai's perspective
Ordered by how strongly the researchers Hai-Van Thi Mai trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm
- Points of Significance: Classification and regression trees
- An experimental study on optimum usage of GGBS for the compressive strength of concrete
- Random forests: from early developments to recent advancements
- Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm (Construction and Building Materials)
- Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves (Journal of Cleaner Production)
- Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network (Advances in Engineering Software)
- Evolution of mechanical properties of concrete containing ground granulated blast furnace slag and effects on the scaling resistance test at 28 days
- Effect of GGBFS on time dependent compressive strength of concrete
Their papers
- Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model (2021) — 83 citations