Hamid Eskandari-Naddaf

Civil and Structural Engineering · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 60 citations into it
• Building and Construction — 24 citations into it
• Artificial Intelligence — 12 citations into it

Whom Hamid Eskandari-Naddaf trusts overall

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

1. Ilker Bekir Topcu
2. Hojjat Adeli
3. Mustafa Sarıdemir
4. Z. Duan
5. I-Cheng Yeh

Who trusts Hamid Eskandari-Naddaf overall

1. Amir Ali Shahmansouri

Papers from Hamid Eskandari-Naddaf's perspective

Ordered by how strongly the researchers Hamid Eskandari-Naddaf trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks: A Comprehensive Foundation
2. Learning internal representations by error propagation
3. Support-Vector Networks
4. Prediction of compressive strength of concrete by neural networks
5. Self-Organization and Associative Memory
6. ImageNet classification with deep convolutional neural networks
7. The Nature of Statistical Learning Theory
8. Networks for approximation and learning
9. Optimization by Simulated Annealing
10. Probabilistic neural networks

Their papers

• Predicting the mechanical properties of cement mortar using the support vector machine approach (2021) — 96 citations
• Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete (2020) — 218 citations
• Effect of cement strength class on the prediction of compressive strength of cement mortar using GEP method (2019) — 84 citations
• ANN prediction of cement mortar compressive strength, influence of cement strength class (2017) — 170 citations