Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1926

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Now showing 1 - 20 of 729

Citation - WoS: 8
Citation - Scopus: 5
Recognizing Non-Manual Signs in Turkish Sign Language
(IEEE, 2019) Gökberk, Berk; Akarun, Lale; Aktaş, Müjde
Recognition of non-manual components in sign language has been a neglected topic, partly due to the absence of annotated non-manual sign datasets. We have collected a dataset of videos with non-manual signs, displaying facial expressions and head movements and prepared frame-level annotations. In this paper, we present the Turkish Sign Language (TSL) non-manual signs dataset and provide a baseline system for non-manual sign recognition. A deep learning based recognition system is proposed, in which the pre-trained ResNet Convolutional Neural Network (CNN) is employed to recognize question, negation side to side and negation up-down, affirmation and pain movements and expressions. Our subject independent method achieves 78.49% overall frame-level accuracy on 483 TSL videos performed by six subjects, who are native TSL signers. Prediction results of consecutive frames are filtered for analyzing the qualitative results.
Citation - WoS: 6
Citation - Scopus: 6
Case Study on Seismic Behavior of Aseismically Designed Reinforced Concrete Frame Structures
(2018) Oyguc, Evrim; Oyguc, Resat; Tönük, Gökçe
In this study, the seismic performances of two aseismically designed plan-irregular reinforced concrete frame (RCF) households damaged during the October 23, 2011 Van earthquake are assessed. Since no strong ground motion recordings from the main shock were available, first, strong ground motion parameters of the event are evaluated and then compatible with these parameters suits of real records are selected and scaled to match with the event's simulated acceleration spectrum to be used in the analytical investigations. The results of previous reconnaissance studies, in which one of the present authors was involved, are then discussed. Capacities of the considered RCF's are determined applying a 3D single-run adaptive pushover procedure that is capable of considering the effect of plan irregularities. The performance assessment procedure based on the current 2007 Turkish Earthquake Code is then applied to these investigated buildings. Additionally, nonlinear dynamic time history analyses are carried out using the previously selected time histories. The hysteretic behavior of the considered buildings is examined as the consequence of the conducted analyses and considering the different suits of selected ground motions, the seismic response of the buildings is evaluated in terms of interstorey drifts. None of the buildings are found to satisfy the expected performance level. Moreover, the numerical results are found to have good correlation with the field observation results.
The Impact of Organizational Gossip on Affective Organizational Commitment, Feelings of Loneliness, and Turnover Intention: a Mixed Methods Study
(Cambridge Univ Press, 2025) Kucuk, Burcu Aydin; Ucok, Dilek Isilay; Konuk, Hizir
This study examines the impact of organizational gossip on workplace outcomes, including affective organizational commitment, loneliness, and turnover intention, with a focus on differences between the public and private sectors. Using a mixed-methods approach, the research combines qualitative and quantitative data from surveys conducted with Turkish citizen partners and in-depth interviews with employees in both sectors. The findings reveal that positive gossip enhances social bonds and commitment, while negative gossip leads to loneliness and increased turnover intention, especially in the private sector where job insecurity is higher. The study introduces an integrated framework linking gossip dynamics to organizational processes. Practical implications suggest that managers should address negative gossip while promoting positive gossip to strengthen workplace relationships. This study highlights the dual role of gossip in shaping employee experiences and retention strategies.
Citation - Scopus: 1
Examining Factors Influencing Turkish Jewish Attitudes Towards the Armenian Genocide
(Wiley, 2024) Kaymak, Özgür; Nefes, Türkay Salim; Gürpınar, Doğan
The most prominent issue influencing Turkish-Armenian relations is the international recognition of the Armenian genocide. However, there is a notable absence of empirical analyses regarding the perceptions of the genocide among the Turkish population. This study aims to fill this scholarly gap by exploring, for the first time, the perspectives of Turkish Jews. It analyses evidence collected from interviews conducted with 14 Turkish Jews, utilising Stanley Cohen's (2001) theoretical framework, which aids in delineating significant factors by a categorisation of types of acceptance and denial. The findings highlight a diversity of responses linked to political attitudes, which can be broadly categorised into Kayades and Avlaremoz mindsets. They also show that Turkish Jews' views on the Holocaust influence how they perceive the Armenian genocide. Additionally, the results indicate that Cohen's approach is useful in explaining non-denying responses. In conclusion, the study argues that Turkish Jews' perspectives appear to be strongly related to their stance towards the Turkish state and the Holocaust.
Citation - WoS: 1
Citation - Scopus: 1
Determining and Evaluating New Store Locations Using Remote Sensing and Machine Learning
(Tübitak, 2021) Ünsalan, Cem; Turgay, Zeynep Zerrin; Küçükaydın, Hande; Höke, Berkan
Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and mask R-CNN algorithms for this purpose. Using the existing store data, we construct models for estimating the revenue based on surrounding building volumes. In order to choose the right location, the suitable utility model, which calculates store revenues, shouldbe rigorously determined. Moreover, model parameters should be assessed as correctly as possible. Instead of using randomly generated parameters, we employ remote sensing, computer vision, and machine learning techniques, which provide a novel way for evaluating new store locations.
Citation - Scopus: 4
Multi-View Reconstruction of 3d Human Pose With Procrustes Analysis
(IEEE, 2019) Gökberk, Berk; Akarun, Lale; Temiz, Hüseyin
Recovery of 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera environments have an array of cameras. In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates. Experiments performed on the CMU Panoptic, and Human3.6M databases demonstrate that the proposed system achieves accurate 3D body joint reconstructions. Additionally, we observe that camera selection is useful to decrease the system complexity while attaining the same level of reconstruction performance.
Citation - Scopus: 14
Grounding Probability in Narrow Waterways
(Cambridge University Press, 2020) Özlem, Şirin; Altan, Yiğit Can; Otay, Emre N.; Or, İlhan
The Strait of Istanbul is one of the world's busiest, narrowest and most winding waterways. As such, there is a high grounding probability for vessels. Although a number of grounding probability models exist, they have been deemed unsuitable by local maritime experts, due to their insufficient stopping distance criteria for narrow waterways. Thus, there is a need for a new model. This paper proposes a two-component grounding probability model that multiplies the geometric grounding probability (calculated with a kinematic-based model) with the causation probability (calculated with a specially designed Bayesian network). The geometric probability model is improved in terms of stopping distance parameters and the Bayesian network is crafted for narrow waterways. The model is then deployed with pre-determined parameters within the Strait of Istanbul to run risk analysis scenarios. The results, validated with actual grounding records, show that the causation probability is the key component for quantifying the probability of grounding in narrow waterways. If navigated without frequent evasive manoeuvres, grounding would be almost inevitable. Although this study focuses on the Strait of Istanbul, the proposed approach can be applied to research into grounding probability of vessels navigating through other waterways. Copyright © The Royal Institute of Navigation 2019.
Citation - WoS: 6
Citation - Scopus: 6
Investigating the Relationship Between Volitional Strategies and Academic Achievement in a Flipped Learning Environment
(Fac Teacher Education, 2019) Seggie, Fatma Nevra; Kiziltepe, Zeynep; Birgili, Bengi
This study was conducted to determine whether there is a relationship between academic volitional strategies and academic achievement in a flipped learning environment. Academic achievement entails an environment where students exert self-discipline on classroom tasks. By using volitional strategies, learners can enhance engagement on academic tasks and complete assignments more efficiently. Undergraduate students enrolled in a teacher education programme at a higher education institution in Turkey participated in the research. Academic Volitional Strategies Inventory (AVSI), with alpha = .87 internal consistency, was applied to a group of students. The obtained data were explored through Pearson correlation. The results showed a statistically significant positive relationship between AVSI scores and academic achievements (r =.39, p=<.05). Hence, volitional skills and academic achievements act in concert in a teacher education programme.
Citation - WoS: 7
Citation - Scopus: 8
Hematocrit Levels and Thrombotic Events in Patients With Polycythemia Vera: an Analysis of Veterans Health Administration Data
(Springer, 2019) Parasuraman, Shreekant; Robyn Scherber; Jingbo Yu; Li Wang; Dilan Paranagama; Sulena Shrestha; Başer, Onur
Patients with polycythemia vera (PV) have a high incidence of thrombotic events (TEs), contributing to a greater mortality risk than the general population. The relationship between hematocrit (HCT) levels and TE occurrence among patients with PV from the Veterans Health Administration (VHA) was evaluated to replicate findings of the CYTO-PV trial with a real-world patient population. This retrospective study used VHA medical record and claims data from the first claim with a PV diagnosis (index) until death, disenrollment, or end of study, collected between October 1, 2005, and September 30, 2012. Patients were aged ? 18 years at index, had ? 2 claims for PV (ICD-9-CM code, 238.4) ? 30 days apart during the identification period, continuous health plan enrollment from 12 months pre-index until end of study, and ? 3 HCT measurements per year during follow-up. This analysis focused on patients with no pre-index TE, and with all HCT values either < 45% or ? 45% during the follow-up period. The difference in TE risk between HCT groups was assessed using unadjusted Cox regression models based on time to first TE. Patients (N = 213) were mean (SD) age 68.9 (11.5) years, 98.6% male, and 61.5% white. TE rates for patients with HCT values < 45% versus ? 45% were 40.3% and 54.2%, respectively. Among patients with ? 1 HCT before TE, TE risk hazard ratio was 1.61 (95% CI, 1.03–2.51; P = 0.036). This analysis of the VHA population further supports effective monitoring and control of HCT levels < 45% to reduce TE risk in patients with PV.
Dog Walker Segmentation
(IEEE, 2022) Ercan, Alperen; Karan, Baris; Çakar, Tuna
In this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After normalizing, K Means algorithm and Gaussian Mixture Models used for finding optimum cluster count. According to these clusters, walkers' consecutive months separated to follow-up their behavioral traits. This part of the study adds value to the project to examine walkers' behaviors closer.
Citation - WoS: 13
Citation - Scopus: 17
Crossing Boundaries: a Pilot Study of Maternal Attitudes About Child Maltreatment in Nine Countries
(Elsevier, 2020) Emmen, R; Soares, I; Wang, L; Alink, L; Mesman, J; Mels, C; Asanjarani, F.; Carcamo, R; Hsiao, C; Selcuk, B; Branger, M.a, Woudstra, M.-L; Yavuz, Melis; Van Ginkel, J
Background: Definitions of child maltreatment vary widely between studies, and even more so between different cultural contexts. Objective: In this pilot study, we examine between-country variations in maternal notions about what constitutes child maltreatment. Participants and setting: The sample consisted of 466 mothers recruited in Chile, China, Greece, Iran, the Netherlands, Portugal, South Africa, Turkey, and Uruguay. Methods: All mothers completed a new Q-sort measure, ranking 90 parenting behaviors linked to subtypes of maltreatment (emotional neglect, emotional abuse, physical neglect, and physical abuse) from least to most detrimental to child development. Results: Between-country agreement regarding the harmfulness of the parenting behaviors was high (r =.45), but there were different patterns of reported harmfulness of subtypes of maltreatment (although driven mostly by deviating patterns in the South African sample). Further, there were significant country effects on the number and type of behaviors labeled as maltreatment (p?2 =.15), and the number of items labeled as requiring intervention (p?2 =.19). Conclusions: Variations in conceptions of maltreatment need to be studied in larger more representative samples and taken into account in the assessment and treatment of child maltreatment across cultures.
Citation - Scopus: 2
Breast Lesion Detection From Dce-Mri Using Yolov7
(American Institute of Physics, 2024) Şahin,Sinan; Araz, Nusret; Bakırman, Tolga; Çakar, Tuna; Kulavuz, Bahadır; Bayram, Bülent; Çavuşoğlu, Mustafa
Breast cancer is one of the most common types of cancer among women. Early diagnosis of breast cancer has vital importance to prevent unexpected losses. A worldwide effort has been made to tackle early detection challenge. Dynamic contrast-enhanced magnetic resonance imaging is a superior imaging system that improves breast cancer diagnosis quality of physicians. Computer Aided Diagnosis systems are used as a complementary tool to improve breast cancer diagnosis. In last decades, various computer aided diagnosis systems have been proposed. However, the state-of-the-art deep learning-based approaches have started to overcome conventional medical image processing methods. In this study, we aimed to detect malignant breast lesions from open access dynamic contrast-enhanced magnetic resonance imagery dataset using most recent YOLOv7 deep learning architecture. 2400 images have been used for training (80%) and testing (20%) of the network. The metrics calculated with the test dataset are 98.54%, 96.42% and 84.40% for mAP@0.50 IoU, mAP@0.75 IoU and mAP, respectively. The results show that YOLOv7 architecture is capable to detect malignant breast lesions from dynamic contrast-enhanced magnetic resonance images efficiently. © 2024 Author(s).
Citation - Scopus: 6
On the Difficulties in Manufacturing of Luffa Fibers Reinforced Biocomposites and Variations in Their Dynamic Properties
(Institute of Noise Control Engineering, 2016) Genç, Garip; Körük, Hasan
Defects in raw bio materials such as luffa plant effect the characteristics of the composites of these materials. These defects results in structural differences and large scattering mechanical properties such as density, damping and elasticity modulus. There are difficulties during the manufacturing of the composites from bio materials inherent to their nature. The major problems and restrictions encountered with the use of green luffa materials as reinforcement are studied in this study. First, the structural differences in the raw luffa plants are presented and the difficulties in their manufacturing are discussed. After that, the variations in measured modal parameters of luffa composites such as natural frequencies and loss factors and mechanical properties such as density and elasticity modulus are presented. Some solutions are provided to minimize the problems in manufacturing and identifying properties of luffa composites. The results show that the luffa composites can be produced with similar properties without any special selection of fibers to homogenize the batches of fibers for controlling the defects. However, a preliminary selection of fibers is required if the mechanical or dynamic properties of the luffa composites are desired to have small variations.
Citation - WoS: 7
Citation - Scopus: 9
Attachment Insecurity and Restrictive Engulfment in College Student Relationships: the Mediating Role of Relationship Satisfaction
(Emerald Publishing Limited, 2018) Hatipoğlu Sümer, Zeynep; Murray, Christine; Toplu Demirtaş, Ezgi
Purpose Studies on restrictive engulfment (RE) – a subtype of psychological aggression in intimate relationships – have focused either on insecure attachment or relationship satisfaction, not both. Therefore, the purpose of this paper is to investigate relationship satisfaction as a potential mediator of the associations between anxious and avoidant attachment and RE perpetration among college students. Design/methodology/approach A sample of 322 college students (178 women, 137 men, and seven other gender-identified) completed the experiences in close relationship inventory, relationship assessment scale, and RE subscale of the multidimensional measure of emotional abuse. Findings Among the sample, 89.3 and 90.5 percent of the college women and men, respectively, reported to have used isolating, restricting, monitoring, and controlling behaviors. The results of structural equation modeling revealed that all direct paths except for that from avoidant attachment to RE were significant. Moreover, significant indirect paths were identified from anxious and avoidant attachment to RE via relationship satisfaction. Research limitations/implications The results of this study should be interpreted with consideration of the study’s limitations. First, the data were drawn from a convenience sample of Turkish college students. Second, the design of the study is correlational; therefore, we cannot assume causality. Finally, this study utilized self-report and retrospective data. Practical implications Though the findings are preliminary, they may inform college counselors and other mental health practitioners about the nature of RE within college students’ dating relationships. College students who are unhappy with their dating relationships but still in those relationships (i.e. they choose not to leave) should be assessed for whether they are the perpetrators and/or recipients of psychological aggression, especially in light of the high rates of this form of aggression in the current and previous studies. Furthermore, assessing psychological dating aggression perpetrators for insecure attachment styles may help mental health professionals who work with college students, envisage the sessions toward areas in the need of improvement, such as their views of themselves and others. Self-esteem, feelings of insecurity and inadequacy in relationships, and dependency can be worked with these clients. Social implications The results of this study also have implications for the prevention of psychological aggression before it occurs. The need for prevention programs is evident in the high rates of psychologically controlling behaviors among college students. It may be useful to implement campus wide programs to raise awareness regarding psychological aggression, such as through events, seminars, posters, flyers, and talks with student groups. Originality/value Despite the limitations of this study, its findings offer insight into the factors that influence the perpetration of psychological aggression within dating relationships among college students. Adult attachment theory offers a useful lens for understanding the possible driving forces behind college students’ controlling behaviors toward their dating partners. In particular, college students who demonstrate an insecure attachment style – and especially an anxious attachment style – combined with low levels of relationship satisfaction appear to be at a high risk for perpetrating RE behaviors.
Benders Decomposition Algorithms for Minimizing the Spread of Harmful Contagions in Networks
(Pergamon-elsevier Science Ltd, 2024) Sinnl, Markus; Tanınmış, Kübra; Güney, Evren; Aras, Necati
The COVID-19 pandemic has been a recent example for the spread of a harmful contagion in large populations. Moreover, the spread of harmful contagions is not only restricted to an infectious disease, but is also relevant to computer viruses and malware in computer networks. Furthermore, the spread of fake news and propaganda in online social networks is also of major concern. In this study, we introduce the measure -based spread minimization problem (MBSMP), which can help policy makers in minimizing the spread of harmful contagions in large networks. We develop exact solution methods based on branch -and -Benders -cut algorithms that make use of the application of Benders decomposition method to two different mixed -integer programming formulations of the MBSMP: an arc -based formulation and a path -based formulation. We show that for both formulations the Benders optimality cuts can be generated using a combinatorial procedure rather than solving the dual subproblems using linear programming. Additional improvements such as using scenario -dependent extended seed sets, initial cuts, and a starting heuristic are also incorporated into our branch -and -Benderscut algorithms. We investigate the contribution of various components of the solution algorithms to the performance on the basis of computational results obtained on a set of instances derived from existing ones in the literature.
Citation - WoS: 9
Citation - Scopus: 10
Determination of Building Age for Istanbul Buildings To Be Used for the Earthquake Damage Analysis According To Structural Codes by Using Aerial and Satellite Images in Gis
(Springer Verlag, 2017) Konukcu, Betül Ergün; Karaman, Himmet; Şahin, Muhammed
Istanbul is located in one of the most active seismic zones in the world. Since Istanbul is the industrial, commercial, cultural and educational center of Turkey, it attracts ongoing migration from all over Turkey. However, those migrations caused unplanned construction and those unplanned constructions led to the formation of vulnerable and undocumented building stock in Istanbul. Many scientific studies estimated that Istanbul is expecting a major earthquake and the expected damage to the structures will be extensive. Therefore, there have been a lot of building damage estimations for the possible Istanbul earthquake to recommended precautions and to be prepared. A major disadvantage of Istanbul case is the lack of knowledge for the absolute number of buildings and the ages of those buildings. Up to now, many studies for Istanbul used the building dataset of Istanbul with the number starting from 1.1 to 1.5 million without the absolute age information. To make a correct or reliable earthquake damage estimation, a building database that contains at least building age, construction type and number of floors is required in most of the earthquake loss assessment software. This paper aims to determine the buildings of Istanbul and the age of them, according to structural codes for the earthquake zones by using aerial and satellite images of Istanbul. The classification should be based on the regulation so as to minimize the age classes and maximize the accuracy. First building regulations in Turkey came into force in 1940 in order to determine essential conditions for the realization of functional, safe and disaster-resistant building design in Turkey. Last updated building code regulations have come into force in 2007 in Turkey. It was also important to investigate the proper building detection method for the aim of this study, and it was determined as the manual digitization. In this study, the buildings of Istanbul and the age of them are determined for every single building, by digitizing the selected aerial and satellite images of Istanbul based on the official structural codes in Turkey. Thus, first the exact number and location of buildings in Istanbul and every single buildings age were determined. The results were also validated with two separate studies of Istanbul for different periods of times. By this way, earthquake damage analysis for the Istanbul buildings can be run for the real building data of Istanbul with any earthquake loss assessment software.
İnternet Trafik Hızının Tahmininde Derin Öğrenme ve Ağaç Tabanlı Modellerin Karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2025) Filiz, Gozde; Altıntaş, Suat; Yıldız, Ayşenur; Kara, Erkan; Drias, Yassine; Çakar, Tuna
This study addresses the prediction of internet traffic speed using time-dependent data from an internet service provider through different modeling approaches. On an anonymized dataset, the performance of the moving average method, various deep learning models (N-BEATS, N-HITS, TimesNet, TSMixer, LSTM), and the XGBoost regression model enhanced with feature engineering was compared. Time series cross-validation and random hyperparameter search were used for model training. According to the results, the XGBoost model achieved the highest accuracy with 98.7% explained variance (R2), while among the deep learning models, N-BEATS and N-HITS achieved the best performance with R2 values around 90%. The findings indicate that tree-based methods supported by carefully selected features can offer higher accuracy and computational efficiency compared to complex deep learning models in internet traffic forecasting. © 2025 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Integrating Genre-Based Writing and Critical Thinking in Developing Writing Skills of Preservice Language Teachers
(Multilingual Matters Ltd, 2024) Aptoula, Nur Yigitoglu; Altinmakas, Derya
[No Abstract Available]
Citation - WoS: 21
Citation - Scopus: 22
Whistle While You Work: Toward a Model of Emotional Self-Leadership
(2016) Pearce, Craig; Manz, Charles C; Neck, Christopher P; Houghton, Jeffery D; Fugate, Mel
There has been a growing interest in leader emotion in organizational scholarship. Concomitantly, the body of research on self-leadership continues to expand. Nonetheless, relatively little work has focused on emotional self-leadership. We address this void by exploring intrapersonal and interpersonal aspects of emotional self-leadership and its inherent challenges and opportunities. Specifically, we examine how emotional self-leadership strategies can be used to shape emotional experiences, emotional authenticity, and other work-related outcomes. We offer an emotional self-leadership model, research propositions, and implications for research and practice.
A Practical PCB-Based Framework for Spiking Neural Networks with a Half-Adder Example
(IEEE, 2025) Cikikci, Sevde Vuslat; Orek, Eren; Aysoy, Ayhan; Ozgen, Ali Kagan; Yavuz, Arda; Ayhan, Tuba
This paper addresses the half-adder problem using Spiking Neural Networks (SNNs). In a previous study, the XOR operation was successfully realized on a breadboard and in this study it is integrated into the half-adder structure. The system uses input signals at frequencies of 50 Hz and 100 Hz and the neurons are generated by the Leaky Integrate and Fire (LIF) model. Unlike other neuron models, the LIF model is less complex. In addition, it was preferred because of its biological meaningfulness compared to the Integrate and Fire model. The network, consisting of 18 neurons in total, shows that basic arithmetic operations can be performed with SNN. Overall, this study demonstrates that basic logic operations can be implemented in neural networks, thus providing new perspectives for digital calculation. The successful solution of the Half Adder problem using SNNs not only proves the calculation capabilities of SNNs, but also opens new perspectives for the development of more complex logical circuits using these biologically inspired neural circuits.

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