Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Yazar "Aydin, Yaren" için listeleme
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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] -
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 ... -
The State of Art in Machine Learning Applications in Civil Engineering
Aydin, Yaren; Bekdaş, Gebrail; Işıkdağ, Ümit; Nigdeli, Sinan Melih (Springer Science and Business Media Deutschland GmbH, 2023)Machine learning (ML) is one of the methods used by the artificial intelligence approach. Machine learning is used to teach machines how to handle data more efficiently. The purpose of machine learning is to learn from the ...
