A. Shariati

Artificial Intelligence · 2003–2021

A researcher in the Science corpus: 9 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Mechanical Engineering — 7 citations into it

Whom A. Shariati trusts overall

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

1. J. Mantari

Who trusts A. Shariati overall

1. E. Reverchon
2. I. Marco
3. Enza Torino

Papers from A. Shariati's perspective

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

1. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
2. Extreme learning machine: Theory and applications
3. Properties of concrete incorporating fly ash and ground granulated blast-furnace slag
4. Static behavior of large stud shear connectors
5. Behavior of post-installed shear connectors under static and fatigue loading
6. Shear resistance of the perfobond-rib shear connector depending on concrete strength and rib arrangement
7. Experimental analysis of Perfobond shear connection between steel and lightweight concrete
8. Neural networks for predicting compressive strength of structural light weight concrete
9. Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN
10. An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

Their papers

• Recent developments in particle design using supercritical fluids (2003) — 192 citations
• Comparison of the Phase Behavior of Some Selected Binary Systems with Ionic Liquids (2005) — 153 citations
• Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate (2021) — 209 citations
• A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement (2020) — 317 citations
• Extremely large oscillation and nonlinear frequency of a multi-scale hybrid disk resting on nonlinear elastic foundation (2020) — 146 citations
• Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures (2019) — 157 citations
• Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study (2016) — 152 citations
• Evaluation of reinforced concrete beam behaviour using finite element analysis by ABAQUS (2012) — 108 citations
• Various types of shear connectors in composite structures: A review (2012) — 140 citations