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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bekdaş, G., Cakiroglu, C., Islam, K., Kim, S., & Geem, Z. W. (2022). Optimum Design of Cylindrical Walls Using Ensemble Learning Methods. Applied Sciences, 12(4), 11 pages. External link
Batool, F., Islam, K., Cakiroglu, C., & Shahriar, A. (2021). Effectiveness of wood waste sawdust to produce medium- to low-strength concrete materials. Journal of Building Engineering, 44, 103237 (12 pages). External link
Cakiroglu, C., Batool, F., Islam, K., & Nehdi, M. L. (2024). Explainable ensemble learning predictive model for thermal conductivity of cement-based foam. Construction and Building Materials, 421, 135663 (15 pages). Available
Cakiroglu, C., Tusher, T. H., Shahjalal, M., Islam, K., Billah, A. H. M. M., & Nehdi, M. L. (2024). Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete. Developments in the Built Environment, 20, 100547 (25 pages). External link
Cakiroglu, C., Islam, K., Bekdas, G., & Nehdi, M. L. (2023). Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls. Structures, 51, 1268-1280. External link
Cakiroglu, C., Shahjalal, M., Islam, K., Mahmood, S. M. F., Billah, A. H. M. M., & Nehdi, M. L. (2023). Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete. Journal of Building Engineering, 76, 22 pages. External link
Cakiroglu, C., Islam, K., Bekdas, G., Isikdag, U., & Mangalathu, S. (2022). Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns. Construction and Building Materials, 356, 129227 (18 pages). External link
Cakiroglu, C., Islam, K., Bekdaş, G., Kim, S., & Geem, Z. W. (2022). Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns. Materials, 15(8), 20 pages. External link
Cakiroglu, C., Islam, K., Bekdas, G., Kim, S., & Geem, Z. W. (2021). CO₂ Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms. Sustainability, 13(19), 10981 (26 pages). External link
Cakiroglu, C., Islam, K., Bekdaş, G., Kim, S., & Geem, Z. W. (2021). Metaheuristic Optimization of Laminated Composite Plates with Cut-Outs. Coatings, 11(10), 20 pages. External link
Cakiroglu, C., Islam, K., & Bekdaş, G. (2021). Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Meta-Heuristic Algorithms. International Journal of Digital Innovation in the Built Environment (IJDIBE), 10(2), 63-74. External link
Liu, T., Cakiroglu, C., Islam, K., Wang, Z., & Nehdi, M. L. (2024). Explainable machine learning model for predicting punching shear strength of FRC flat slabs. Engineering Structures, 301, 117276 (16 pages). External link
