Mahdi Shariati
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 15 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
- Mechanical Engineering — 5 citations into it
Whom Mahdi Shariati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Huang
- Manolis I. A. Lourakis
- B. Prasad
- Emadaldin Mohammadi Golafshani
- Mohammad Mohammadhassani
- Qin-Yu Zhu
- I-Cheng Yeh
- Ali Behnood
- H. Eskandari
Papers from Mahdi Shariati's perspective
Ordered by how strongly the researchers Mahdi Shariati trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
- Extreme learning machine: Theory and applications
- Properties of concrete incorporating fly ash and ground granulated blast-furnace slag
- Neural networks for predicting compressive strength of structural light weight concrete
- Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN
- An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups
- Predicting the compressive strength and slump of high strength concrete using neural network
- Importance of input data normalization for the application of neural networks to complex industrial problems
- Cocaine and Chest Pain
- Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks
Their papers
- 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
- Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm) (2020) — 199 citations
- Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives (2020) — 153 citations
- Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers (2020) — 261 citations
- Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber (2020) — 117 citations
- Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures (2019) — 157 citations
- Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength (2016) — 198 citations
- Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study (2016) — 152 citations
- An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups (2014) — 145 citations
- Prediction of shear capacity of channel shear connectors using the ANFIS model (2014) — 177 citations
- Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams (2013) — 153 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
- Assessing the strength of reinforced concrete structures through Ultrasonic Pulse Velocity and Schmidt Rebound Hammer tests (2011) — 139 citations