Mehdi Nikoo 
- (2021): BAT Algorithm-Based ANN to Predict the Compressive Strength of Concrete—A Comparative Study. In: Infrastructures, v. 6, n. 6 (Juni 2021).
- (2022): Using Optimization Algorithms-Based ANN to Determine the Temperatures in Timber Exposed to Fire for a Long Duration. In: Buildings, v. 12, n. 12 (1 Dezember 2022).
- (2021): Hybrid Krill Herd-ANN Model for Prediction Strength and Stiffness of Bolted Connections. In: Buildings, v. 11, n. 6 (21 Mai 2021).
- (2017): Investigating laboratory parameters of the resistance of different mixtures of soil – lime – fume using the curing and administrative method. In: Case Studies in Construction Materials, v. 7 (Dezember 2017).
- (2019): Modeling chloride penetration in self-consolidating concrete using artificial neural network combined with artificial bee colony algorithm. In: Journal of Building Engineering, v. 22 (März 2019).
- (2015): Principal Component Analysis combined with a Self Organization Feature Map to determine the pull-off adhesion between concrete layers. In: Construction and Building Materials, v. 78 (März 2015).
- (2017): Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. In: Frontiers of Structural and Civil Engineering, v. 11, n. 1 (Januar 2017).
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