Şaban Suat ÖZSARIYILDIZ
İnşaat Mühendisliği

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E-Posta	ssozsariyildiz@nny.edu.tr
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Ünvan	Dr. Öğr. Üyesi
YÖK Araştırmacı Numarası

Atıf Dağılımları

Axsis Yayın Dağılımı 7

Finding optimal parameters of tuned mass dampers

Şaban Suat ÖZSARIYILDIZ Ali BOZERIn this paper, optimum design of tuned mass damper for seismically excited structures is discussed. In thedesign process, a benchmark multi-degree of freedom system is considered, and the performance measureof the optimization criterion is selected as the H2and H1norms of the transfer function of the combinedtuned mass damper and building system. Differential evolution algorithm is then utilized to minimize theseobjective functions. The objective function choice on performance and the effectiveness of differential evo-lution optimization algori ...Daha fazlası Makale/Derleme2015STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS14 Görüntülenme

Free parameter search of multiple tuned mass dampers by using artificial bee colony algorithm

Ali BOZER Şaban Suat ÖZSARIYILDIZIn optimization of multiple tuned mass dampers (MTMDs), certain restric-tions or preconditions such as uniform distribution of stiffness, mass, or fre-quency spacing had been applied for simplification, but in turn, solution ofindividual stiffness and damping parameters are not the true optima. Themain purpose of this paper is to obtain the true optima of individual stiffnessand damping parameters of MTMD system. In the proposed method, param-eters of TMD units are treated as free search optimization variables, and anefficient optimization algo ...Daha fazlası Makale/Derleme2018STRUCTURAL CONTROL & HEALTH MONITORING6 Görüntülenme

Yapay zeka algoritmalarında kullanılmak için oluşturulan örnek bir oral lezyon veri seti

Şaban Suat ÖZSARIYILDIZ Hatice Cansu KIŞBildiriBildiri2020Eskişehir Osmangazi Üniversitesi 4. İnşaat Mühendisliği SempozyumuEskişehir Osmangazi Üniversitesi 4. İnşaat Mühendisliği Sempozyumu8 Görüntülenme

A deep learning approach to dental restoration classification from bitewing and periapical radiographs

Özcan KARATAŞ Nazire Nurdan ÇAKIR Şaban Suat ÖZSARIYILDIZ Cem Abdülkadir GÜRGANObjective: The aim of this study was to examine the success of deep learning-based convolutional neural networks (CNN) in the detection and differentiation of amalgam, composite resin, and metal-ceramic restorations from bitewing and periapical radiographs. Method and materials: Five hundred and fifty bitewing and periapical radiographs were used. Eighty percent of the images were used for training, and 20% were left for testing. Twenty percent of the images allocated for training were then used for validation during learning. The image classif ...Daha fazlası Makale/Derleme2021Quintessence International12 Görüntülenme

Determination Of Displacements On Built-Up Steel Beams During Experiments By İmage Processing

Şaban Suat ÖZSARIYILDIZ Ertan SÜLEVAbstractIn this study, an image processing technique is developed for measuring the displacements during flexural loading experiments of structural beams as an alternative to measurements by traditional gauging devices. In this context, four-point bending tests were carried out on three built-up (welded) steel beams, one of them without stiffening plates and the others with stiffening plates. In the experiments, while the load-deflection values in each loading step were taken using load cells and LVDTs, a video recording of the experiments was ...Daha fazlası Makale/Derleme2021Journal of Constructional Steel Research10 Görüntülenme

The mental foramen segmentation and location detection on digital orthopantomogram radiographs by using deep learning

Turan Emre KUZU Şaban Suat ÖZSARIYILDIZ Cem Abdülkadir GÜRGANBildiriBildiri2022"EuroPerio10 JUNE 15-18, 2022 in Copenhagen"4 Görüntülenme

A Numerical Approach for Quantifying Bi-directional Interactions between Macro Economic Indicators and Construction Industry

Şaban Suat ÖZSARIYILDIZThis article discusses a numerical approach for quantifying bidirectional interactions between economic indicators and the Turkish construction industry. The construction industry is a significant sector that has a substantial impact on economies, especially in terms of jobs and Gross domestic product (GDP). The article explores the relationship between the construction industry and macroeconomics, and uses macroeconomic models to analyze this relationship. The study focuses on Turkish construction industry and Turkish macro-economic datasets p ...Daha fazlası Makale/Derleme2023Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi Erciyes University Journal of Institute of Science and Technology 0 Görüntülenme

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