Seda Selçuk

Akademik Profiller

1. 1
   A metaheuristic-guided machine learning approach for concrete strength prediction with high mix design variability using ultrasonic pulse velocity dataDevelopments in the Built Environment
   2023
2. 2
   Efficiency of convolutional neural networks (CNN) based image classification for monitoring construction related activities: A case study on aggregate mining for concrete productionCase Studies in Construction Materials
   2022
3. 3
   Strength prediction of engineered cementitious composites with artificial neural networksResearch on Engineering Structures and Materials
   2021
4. 4
   A COMPARISON OF TWO MAJOR APPROACHES USED FOR CONCRETE STRENGTH PREDICTION FOR DIFFERENT CONCRETE TYPESSynerCrete’18 International Conference on Interdisciplinary Approaches for Cement-based Materials and Structural Concrete
   2018
5. 5
   Self-healing performance of aged cementitious compositesCement and Concrete Composites
   2018
6. 6
   Physical and chemical actions of nano-mineral additives on properties of high-volume fly ash engineered cementitious compositesACI Materials Journal
   2016
7. 7
   Nano-modification to improve the ductility of cementitious compositesCement and Concrete Research
   2015
8. 8
   Evaluation of boron ore in cement productionMaterials and Manufacturing Processes
   2012
9. 9
   Evaluation of rebound hammer test as a combined procedure used with drill core testing for evaluation of existing structuresRILEM Bookseries
   2012
10. 10
    Pull-out behavior of prestressing strands in steel fiber reinforced concreteConstruction and Building Materials
    2012

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