Dong Van Dao

Global and Planetary Change · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 11 citations into it

Whom Dong Van Dao trusts overall

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

1. James Kennedy
2. Cort J. Willmott
3. Sasan Barak
4. Wei Chen
5. P. Deb
6. B. Prasad
7. Grgoire Montavon
8. D. Hardjito
9. R. Eberhart
10. Kenji Matsuura

Papers from Dong Van Dao's perspective

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

1. Hardening mechanisms of an alkaline-activated class F fly ash
2. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
3. Machine learning of molecular electronic properties in chemical compound space
4. Engineering Properties of Alkali-Activated Fly Ash Concrete
5. Alkali–aggregate reaction in activated fly ash systems
6. DEVELOPMENT AND PROPERTIES OF LOW-CALCIUM FLY ASH-BASED GEOPOLYMER CONCRETE
7. 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…
8. Gradient-based learning applied to document recognition
9. An Overview of Utilization of Steel Slag
10. Fly Ash-Based Geopolymer Concrete

Their papers

• A spatially explicit deep learning neural network model for the prediction of landslide susceptibility (2020) — 294 citations
• Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (2019) — 136 citations