Mahdi Shariati

Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes

Nguyen Thoi Trung, Karzan Wakil, Maryam Safa, 2020 .

A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

Nguyen Thoi Trung, Mahdi Shariati, Peyman Mehrabi, 2020, Engineering with Computers.

Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

Mahdi Shariati, Maziar Yazdani, Azam Boskabadi, 2021 .

Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Xuan Song, Yousef Zandi, Mahdi Shariati, 2019, Applied Sciences.

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

Mahdi Shariati, Masoud Ahmadi, Ali Shariati, 2020, Engineering with Computers.

Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors

Karzan Wakil, Yousef Zandi, Maryam Safa, 2018 .

Moment-rotation prediction of precast beam-to-column connections using extreme learning machine

Nguyen Thoi Trung, Karzan Wakil, Yousef Zandi, 2019 .

Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

Maryam Safa, Mahdi Shariati, Meldi Suhatril, 2020, J. Intell. Manuf..