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 "Geem, Zong Woo" için listeleme
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Adaptive Neural Architecture Search Using Meta-Heuristics: Discovering Fine-Tuned Predictive Models for Photocatalytic CO2 Reduction
Işıkdağ, Ümit; Bekdaş, Gebrail; Aydın, Yaren; Apak, Sudi; Hong, Junhee; Geem, Zong Woo (Multidisciplinary Digital Publishing Institute (MDPI), 2024)This study aims to contribute to the reduction of carbon dioxide and the production of hydrogen through an investigation of the photocatalytic reaction process. Machine learning algorithms can be used to predict the hydrogen ... -
Comparison of Multilayer Perceptron and Other Methods for Prediction of Sustainable Optimum Design of Reinforced Concrete Columns
Aydın, Yaren; Bekdaş, Gebrail; Nigdeli, Sinan Melih; Işıkdağ, Ümit; Geem, Zong Woo (Springer Science and Business Media Deutschland GmbH, 2023)Machine learning has become a popular science in recent years, as it produces concrete and fast solutions to solve many problems. The rapidly increasing world population and the developments in technology have caused large ... -
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 ... -
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. ... -
Shear Wave Velocity Prediction with Hyperparameter Optimization
Bekdaş, Gebrail; Aydın, Yaren; Isikdag, Umit; Nigdeli, Sinan Melih; Hajebi, Dara; Kim, Tae-Hyung; Geem, Zong Woo (Multidisciplinary Digital Publishing Institute (MDPI), 2025)Shear wave velocity (Vs) is an important soil parameter to be known for earthquake-resistant structural design and an important parameter for determining the dynamic properties of soils such as modulus of elasticity and ... -
Use of Machine Learning Techniques in Soil Classification
Aydın, Yaren; Işıkdağ, Ümit; Bekdaş, Gebrail; Nigdeli, Sinan Melih; Geem, Zong Woo (Multidisciplinary Digital Publishing Institute (MDPI), 2023)In the design of reliable structures, the soil classification process is the first step, which involves costly and time-consuming work including laboratory tests. Machine learning (ML), which has wide use in many scientific ...
