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
Kurum Yazarı "Işıkdağ, Ümit" İçin Listeleme
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BIM for Geoinformation in Malaysia and Turkiye - Current Status
Abdul Rahman, Alias; Zamzuri, Ainn; Aş Çemrek, Handan; Işıkdağ, Ümit (ISPRS, 2026)This paper reviews the status and progress of Building Information Modelling (BIM) with geoinformation systems in Malaysia and Turkiye, emphasizing their respective efforts toward 3D digital land administration. Both ... -
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, ... -
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 ... -
Interpretable Machine Learning for Compressive Strength Prediction of Fly Ash-Based Geopolymer Concrete
Ahadian, Farnaz; Işıkdağ, Ümit; Bekdas, Gebrail; Niğdeli, Sinan Melih; Çakıroğlu, Celal; Geem, Zong Woo (MDPI, 2026)Fly ash-based geopolymer concrete (GPC) is a sustainable alternative to conventional cementitious materials; however, its compressive strength is governed by complex and highly correlated mixture parameters, making ... -
Machine Learning-Based Prediction of Operability for Friction Pendulum Isolators Under Seismic Design Levels
Ocak, Ayla; Kahvecioğlu, Batuhan; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit; Geem, Zong Woo (MDPI, 2026)Within the scope of the study, the parameters of friction pendulum-type (FPS) isolators used or planned to be used in different projects were evaluated specifically for the project and its location. The evaluations were ... -
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 ... -
Sosyal Bilimler Araştırmacılarının İstatistik Paket Programlarına Karşı Tutumları
Işıkdağ, Ümit; Cansız, Sergen; Şahin, Kemal (Kastamonu Üniversitesi Eğitim Fakültesi, 2020)İstatistik araçları sosyal bilimler araştırmalarında, araş-tırma kapsamında toplanılan verilerin analiz edilebilmesiiçin sıklıkla kullanılmaktır. Doğru ve geçerli bir analizin yapılabilmesi için araştırmacıların, istatistik ... -
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 ...
