Mimar Sinan Fine Arts University Institutional Repository
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Browsing by Author "Bekdas, Gebrail"
Now showing items 1-9 of 9
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Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach
Cakiroglu, Celal; Aydin, Yaren; Bekdas, Gebrail; Isikdag, Umit; Sadeghifam, Aidin Nobahar; Abualigah, Laith (Elsevier Science Sa, 2024)Since the cooling systems used in buildings in hot climates account for a significant portion of the energy consumption, it is very important for both economy and environment to accurately predict the cooling load and ... -
Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach (vol 313, 114254, 2024)
Cakiroglu, Celal; Aydin, Yaren; Bekdas, Gebrail; Isikdag, Umit; Sadeghifam, Aidin Nobahar; Abualigah, Laith (Elsevier Science Sa, 2024)[Abstract Not Available] -
Estimating Construction Material Indices with ARIMA and Optimized NARNETs
Isikdag, Umit; Hepsag, Aycan; Biyikli, Sureyya Imre; Oz, Derya; Bekdas, Gebrail; Geem, Zong Woo (Tech Science Press, 2023)Construction Industry operates relying on various key economic indicators. One of these indicators is material prices. On the other hand, cost is a key concern in all operations of the construction industry. In the uncertain ... -
Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns
Cakiroglu, Celal; Islam, Kamrul; Bekdas, Gebrail; Isikdag, Umit; Mangalathu, Sujith (Elsevier Sci Ltd, 2022)Concrete-filled steel tubular (CFST) columns have been popular in the construction industry due to enhanced mechanical properties such as higher strength and ductility, higher seismic resistance, and aesthetics. Extensive ... -
Machine Learning Models for Ecofriendly Optimum Design of Reinforced Concrete Columns
Aydin, Yaren; Bekdas, Gebrail; Nigdeli, Sinan Melih; Isikdag, Umit; Kim, Sanghun; Geem, Zong Woo (Mdpi, 2023)CO2 emission is one of the biggest environmental problems and contributes to global warming. The climatic changes due to the damage to nature is triggering a climate crisis globally. To prevent a possible climate crisis, ... -
Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms
Aydin, Yaren; Cakiroglu, Celal; Bekdas, Gebrail; Isikdag, Umit; Kim, Sanghun; Hong, Junhee; Geem, Zong Woo (Mdpi, 2024)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ... -
Optimizing artificial neural network architectures for enhanced soil type classification
Aydin, Yaren; Bekdas, Gebrail; Isikdag, Uemit; Nigdeli, Sinan Melih; Geem, Zong Woo (Techno-Press, 2024)Artificial Neural Networks (ANNs) are artificial learning algorithms that provide successful results in solving many machine learning problems such as classification, prediction, object detection, object segmentation, image ... -
Prediction of Cooling Load of Tropical Buildings with Machine Learning
Bekdas, Gebrail; Aydin, Yaren; Isikdag, Umit; Sadeghifam, Aidin Nobahar; Kim, Sanghun; Geem, Zong Woo (Mdpi, 2023)Cooling load refers to the amount of energy to be removed from a space (or consumed) to bring that space to an acceptable temperature or to maintain the temperature of a space at an acceptable range. The study aimed to ... -
Prediction of Damping Capacity Demand in Seismic Base Isolators via Machine Learning
Ocak, Ayla; Isikdag, Umit; Bekdas, Gebrail; Nigdeli, Sinan Melih; Kim, Sanghun; Geem, Zong Woo (Tech Science Press, 2024)Base isolators used in buildings provide both a good acceleration reduction and structural vibration control structures. The base isolators may lose their damping capacity over time due to environmental or dynamic effects. ...
