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Author

A. B. Çolak

3 papers indexed here

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Open access Aug 2026

Predictive modeling of soaked and unsoaked California bearing ratio for coarse and fine-grained soils: a comparative study using XGBoost and ANN architectures

The California Bearing Ratio is a vital parameter for pavement design, but traditional laboratory testing is expensive and time-consuming. This study addresses the limitations of simplified empirical models by developing advanced data-driven frameworks using Artificial Neural Networks and Extreme Gradient Boosting. Uti...

A. B. Çolak, Firdevs Uysal, Esra Tatlıoğlu · 0 citations
Open access Sep 2026

Machine Learning-Based Performance Analysis of Solar Thermal Storage Tanks with Fin-Configured Phase Change Materials

Solar thermal energy storage systems play a vital role in bridging the gap between intermittent solar availability and continuous energy demand; however, their efficiency is severely constrained by the inherently low thermal conductivity of phase change materials. Integrating physical heat transfer enhancements, such a...

A. B. Çolak, Cuma Kılınç · 0 citations
Open access Aug 2026

Accelerating Sustainable Hydrogen Production: A Scalable Machine Learning Approach for Predictive Modeling and Performance Assessment of Proton Exchange Membrane Electrolyzers

This study investigates machine learning techniques for predicting the behavior of proton exchange membrane electrolyzers, which are vital for sustainable hydrogen production. This work addresses these challenges by integrating artificial neural networks to develop predictive models capable of capturing the performance...

A. B. Çolak, Cuma Kılınç · 0 citations

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