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 "Bekdaş, Gebrail" 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 ... -
Application of adaptive harmony search and machine learning on optimization problems about strength of materials
Aydın, Yaren; Niğdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit; Geem, Zong Woo (Metaheuristics-Based Materials Optimization, 2025)In structural design, the strength of materials is the key factor in design and applications including optimization covers the strength of material theory in design. The constraints are generally related to the strength ... -
Artificial Intelligence and Deep Learning in Civil Engineering
Ocak, Ayla; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit (Springer Science and Business Media Deutschland GmbH, 2023)Artificial intelligence is a variety of software developed that imitates the human brain to perform the tasks that the human brain can do. Aiming to minimize human intervention, this software has a wide range of content ... -
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 ... -
Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates
Ocak, Ayla; Bekdaş, Gebrail; Işıkdağ, Ümit; Nigdeli, Sinan Melih; Bilir, Turhan (Elsevier, 2024)Concrete is a material that loses water and changes shape while hardening due to its structure. Over time, this water loss results in some shrinkage of the hardened concrete, referred to as drying shrinkage. In addition, ... -
Estimation of Optimum Design of a 3-Bar Truss System with Decision Tree Algorithm
Ocak, Ayla; Bekdaş, Gebrail; Işıkdağ, Ümit; Nigdeli, Sinan Melih (Springer Science and Business Media Deutschland GmbH, 2023)Truss systems are structures that require care and cost due to the materials and workmanship used. In the design of such systems, the process of optimizing the material volume is necessary for optimum cost. In terms of ... -
Factors Influencing Perceived Ease of Use and Usefulness of BIM Tools
Işıkdağ, Ümit; Aydın, Yaren; Bekdaş, Gebrail; Underwood, Jason (MDPI, 2025)BIM Adoption in firms and projects requires considerable changes in design and construction processes. There has been ongoing research on exploring the drivers and barriers to BIM adoption. BIM Tools can be defined as all ... -
Fire Resistance Prediction in FRP-Strengthened Structural Elements: Application of Advanced Modeling and Data Augmentation Techniques
In order to ensure the earthquake safety of existing buildings, retrofitting applications come to the fore in terms of being fast and cost-effective. Among these applications, fiber-reinforced polymer (FRP) composites are ... -
Machine Learning Application of Structural Engineering Problems
Ocak, Ayla; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit (Springer Science and Business Media Deutschland GmbH, 2023)The cross-sectional properties of the basic structural system elements, such as columns and beams, are the basic structural design elements that need to be determined sensitively. For the optimum design of such structural ... -
Multioutput Regression for Reinforced Retaining Wall Optimum Design with Machine Learning
Aydın, Yaren; Bekdaş, Gebrail; Nigdeli, Sinan Melih; Işıkdağ, Ümit (Springer International Publishing AG, 2026)This study aims to predict optimum reinforced concrete wall dimensions and cost by using the height of the wall (H) and surcharge load (q) inputs using Multioutput Regression. The base learner models for Multioutput ... -
Optimum Carbon Fiber Reinforced Polymer (CFRP) Design for Flexural Strengthening of Cantilever Concrete Walls Using Artificial Neural Networks
Bekdaş, Gebrail; Khalbous, Ammar; Niğdeli, Sinan Melih; Işıkdağ, Ümit (MDPI, 2025)This study introduces a hybrid framework combining an Artificial Neural Network (ANN) with the Jaya optimization algorithm to predict the minimum Carbon Fiber Reinforced Polymer (CFRP) area required for flexural strengthening ... -
Predicting the area moment of inertia of beam and column using machine learning and HyperNetExplorer
Aydın, Yaren; Niğdeli, Sinan Melih; Roozbahan, Mostafa; Bekdaş, Gebrail; Işıkdağ, Ümit (Springer, 2025)Beams and columns are the most important elements of steel frame structures. Damage to the beam or column can lead the structure to serious hazards and cause collapse. In the structural engineering literature, it has been ... -
A Real-Time Advisory Tool for Supporting the Use of Helmets in Construction Sites
Işıkdağ, Ümit; Çemrek, Handan As; Sönmez, Seda; Aydın, Yaren; Bekdaş, Gebrail; Geem, Zong Woo (2025)In the construction industry, occupational health and safety plays a critical role in preventing occupational accidents and increasing productivity. In recent years, computer vision and artificial intelligence-based systems ... -
Recent Advences of Artificial Intelligence in Civil Engineering
Bekdaş, Gebrail; Nigdeli, Sinan Melih; Ocak, Ayla; Işıkdağ, Ümit (Springer, 2026)This section of the book provides an introduction for the book titled “Artificial Intelligence in Civil Engineering”. This section provides information on current applications of artificial intelligence and its areas of ... -
Searching for the Best Artificial Neural Network Architecture to Estimate Column and Beam Element Dimensions
Ocak, Ayla; Bekdaş, Gebrail; Nigdeli, Sinan Melih; Işıkdağ, Ümit; Geem, Zong Woo (Multidisciplinary Digital Publishing Institute (MDPI), 2025)The cross-sectional dimensions of structural elements in a structure are design elements that need to be carefully designed and are related to the stiffness of the structure. Various optimization processes are applied to ... -
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 ... -
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 ... -
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 ...
