Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/1248

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18 - Turkey
(Cambridge University Press, 2020) Diner,C.
Each of these chapters contains a case study of a couple from the relevant country. Each includes a description of the everyday life of the couple with respect to the division of housework and childcare, a recounting of the history of their relationship and how it became equal, a discussion of how they balance paid work and family, and an analysis of the factors that facilitate their equality. Those factors include their conviction in gender equality, their rejection of essentialist beliefs, their familism, and their socialization in their families of origin. By showing how and why they undo gender, these couples provide lessons on how equality at home can be achieved. © Cambridge University Press 2020
Citation - WoS: 1
Citation - Scopus: 1
Accelerated Trends in Tourism Marketing and Tourist Behaviour
(Routledge, 2023) Kozak, Metin; Kozak, Metin
[No Abstract Available]
Acoustic Assessment of Shared Office Spaces: A Case Based Study
(Society of Acoustics, 2025) Kelle, D.; Şaher, K.; Ustundag Ganic, O.
This study investigates the acoustic conditions in shared flex-desk office spaces, where user requirements differ from those in traditional permanent open-plan offices. Unlike conventional office environments, shared workspaces accommodate a diverse and dynamic user base, necessitating greater flexibility in acoustic and spatial design. To assess the acoustic environment and user preferences, both subjective and objective data were collected. Subjective data was obtained through questionnaire, capturing occupants’ perceptions of noise levels, and overall comfort. Objective measurements were conducted to show activity noise levels during a typical workday. The data collected was then compared with assessment parameters defined in standard ISO 22955:2021, to identify discrepancies in user needs and expectations. The findings indicate that shared desk open-plan offices exhibit higher ambient noise levels than traditional open-plan offices, with intelligible speech being the most dominant source of disturbance. While perceived noise levels strongly correlated with disturbance, noise disturbance was not significantly linked to work load related factors, suggesting user adaptation or task-specific resilience. These results highlight the need to reassess conventional acoustic standards, such as ISO 22955:2021, to better accommodate the unique dynamics of shared workspaces. Specifically, shared workspace users show greater flexibility in noise levels and demands in spatial configurations, promoting the networking and transition of knowledge and collaborative nature of these environments. This study underscores the limitations of applying traditional office acoustic standards to shared environments and suggests the necessity for revised criteria that better reflect the unique demands of these spaces. © Copyright 2012 - 2025 IIAV - All Rights Reserved.
ACOUSTIC TRANSFORMATION OF ROCK-CUT CAVES INTO PERFORMANCE SPACES
(European Acoustics Association, EAA, 2023) Aslan,A.; Saher,K.; Tozoglu,A.E.
Cappadocia Region in Turkey is a center of attention as a tourism destination with its rock-cut caves, some of which are being used as performance spaces for concerts, festivals and local entertainment activities. However, these spaces are not fully investigated for their acoustic performance before being transformed into performance venues. This paper reports on the findings of an initial survey which presents a systematic mapping of the rock-cut caves used as performance spaces to locate, explore and document a sample of structures scattered in this historic district. A typological classification based on volume, size, type of tuff rock material and historical original use has been proposed and an acoustic analysis of some selected rock-cut caves has been carried out. The acoustic analysis included reverberation time calculations and simulations based on apparent volume, and tuff stone absorption characteristics, which were studied by other researchers in the area. © 2023 Aslan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation - Scopus: 15
Actively open- minded thinking and the political effects of its absence
(Oxford University Press, 2023) Baron, J.; Isler, O.; Yilmaz, O.
[No abstract available]
Citation - WoS: 3
Citation - Scopus: 2
Adaptive Sampling Noise Mitigation Technique for Feedback-Based Quantum Algorithms
(Springer international Publishing Ag, 2024) Rahman, Salahuddin Abdul; Clausen, Henrik Glavind; Karabacak, Ozkan; Wisniewski, Rafal
Inspired by Lyapunov control techniques for quantum systems, feedback-based quantum algorithms have recently been proposed as alternatives to variational quantum algorithms for solving quadratic unconstrained binary optimization problems. These algorithms update the circuit parameters layer-wise through feedback from measuring the qubits in the previous layer to estimate expectations of certain observables. Therefore, the number of samples directly affects the algorithm's performance and may even cause divergence. In this work, we propose an adaptive technique to mitigate the sampling noise by adopting a switching control law in the design of the feedback-based algorithm. The proposed technique can lead to better performance and convergence properties. We show the robustness of our technique against sampling noise through an application for the maximum clique problem.
Adoption of Design Thinking in Industry 4.0 Project Management
(IGI Global, 2021) Dilan, Ebru; Aydin, Mehmet Nafiz
Management of Industry 4.0 projects needs to have a distinct discourse, be flexible, iterative and creative. These projects are tightly linked with the way people work which is directly related to both their capabilities and their ways of thinking. Challenging Industry 4.0 projects entail out-of-the-box thinking. The basic premise of this research is that the complex transformation accompanying Industry 4.0, which involves various dimensions, requires extensive and effective project management that can leverage novel approaches and techniques such as design thinking. This new approach may overcome the limitations of the dominant model of standard project management and has the potential to bridge the gap between a refreshed project management perspective and the tools/techniques in practical use. Deciding whether, and to what extent, design thinking needs to be adopted in practice in Industry 4.0 project management is a challenge. However, it is time to start exploring the challenges governing the interface between agile approaches such as design thinking and Industry 4.0 project management. © 2025 Elsevier B.V., All rights reserved.
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(Springer Nature, 2025) Kurultay, A.B.
Citation - WoS: 1
Citation - Scopus: 1
Age Classification by WGAN Brain MR Image Augmentation
(IEEE, 2024) Yaman, Batuhan; Yilmaz, Ozge Zeynep; Darici, Muazzez Buket; Ozmen, Atilla
Medical image augmentation plays a crucial role in enhancing the performance of Artificial Intelligence (AI) applications in medical sciences. Augmenting medical images is important for solving data scarcity, increasing data diversity, enhancing robustness and reliability of model and improving training and test results that can be done in medical sciences. In this work we show that Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) can be used for increasing the performance of data classification. To achieve that, we have augmented healthy brain MR images by using WGAN and updated the dataset. The results give that when dataset augmented by WGAN-GP is used as input for CNN-based model to solve age classification problem, accuracy of this model increases to 98,37% from 95,14%. It can be concluded that the purposed WGAN-based brain MR image augmentation method enhances the performance of image classification.
Citation - Scopus: 1
Algorithm for Key Transparency With Transparent Logs
(F1000 Research Ltd, 2024) Mollakuqe, E.; Rexhepi, S.; Bunjaku, R.; Dag, H.; Chukwu, I.J.
Background: Cryptography plays a crucial role in securing digital communications and data storage. This study evaluates the Transparent Key Management Algorithm utilizing Merkle trees, focusing on its performance and security effectiveness in cryptographic key handling. Methods: The research employs simulated experiments to systematically measure and analyze key operational metrics such as insertion and verification times. Synthetic datasets are used to mimic diverse operational conditions, ensuring rigorous evaluation under varying workloads and security threats. Implementation is carried out using R programming, integrating cryptographic functions and Merkle tree structures for integrity verification. Results: Performance analysis reveals efficient insertion and verification times under normal conditions, essential for operational workflows. Security evaluations demonstrate the algorithm's robustness against tampering, with approximately 95% of keys verified successfully and effective detection of unauthorized modifications. Simulated attack scenarios underscore its resilience in mitigating security threats. Conclusions: The Transparent Key Management Algorithm, enhanced by Merkle trees and cryptographic hashing techniques, proves effective in ensuring data integrity, security, and operational efficiency. Recommendations include continuous monitoring and adaptive algorithms to bolster resilience against evolving cybersecurity challenges, promoting trust and reliability in cryptographic operations. Copyright: © 2024 Mollakuqe E et al.
Citation - WoS: 5
Citation - Scopus: 7
Alternative Credit Scoring and Classification Employing Machine Learning Techniques on a Big Data Platform
(Institute of Electrical and Electronics Engineers Inc., 2019) Hindistan, Yavuz Selim; Kiyakoğlu, Burhan Yasin; Rezaeinazhad, Arash Mohammadian; Korkmaz, Halil Ergun; Dağ, Hasan
With the bloom of financial technology and innovations aiming to deliver a high standard of financial services, banks and credit service companies, along with other financial institutions, use the most recent technologies available in a variety of ways from addressing the information asymmetry, matching the needs of borrowers and lenders, to facilitating transactions using payment services. In the long list of FinTechs, one of the most attractive platforms is the Peer-to-Peer (P2P) lending which aims to bring the investors and borrowers hand in hand, leaving out the traditional intermediaries like banks. The main purpose of a financial institution as an intermediary is of controlling risk and P2P lending platforms innovate and use new ways of risk assessment. In the era of Big Data, using a diverse source of information from spending behaviors of customers, social media behavior, and geographic information along with traditional methods for credit scoring prove to have new insights for the proper and more accurate credit scoring. In this study, we investigate the machine learning techniques on big data platforms, analyzing the credit scoring methods. It has been concluded that on a HDFS (Hadoop Distributed File System) environment, Logistic Regression performs better than Decision Tree and Random Forest for credit scoring and classification considering performance metrics such as accuracy, precision and recall, and the overall run time of algorithms. Logistic Regression also performs better in time in a single node HDFS configuration compared to a non-HDFS configuration.
Aluminum accumulation in treatment using submerged membrane electro-bioreactor of young landfill leachate: Statistical analysis
(Environmental Research & Technology (Online), 2020) Kurtoğlu Akkaya, Gülizar; Ayvaz Çavdaroğlu, Nur; Bilgili, Mehmet
Herein, landfill leachate containing high amount of organic matter, which is quite difficult to treat, was first treated using the new submerged membrane electro-bioreactor (SMEBR) system. Aluminum (Al) electrode was used for the treatment of leachate in the SMEBR and Al accumulation was detected. This study aims to examine Al accumulation in the treatment of leachate with high organic content in the SMEBR system. The Al values obtained were plotted on a graph using MS Excel, and Mann–Whitney U test was used to determine whether there is a statistical difference between the observed Al values. Also, correlations between Al accumulations and conductivity and TOC in SMEBR and SMBR were evaluated. Resultantly, it was found that relationship between Al and conductivity is very weak, correlation between Al and TOC% is a weak-moderate, the Al accumulation in the SEMBR has a linear relationship with time and there is a very strong correlation between the two variables (R2= 0.7591). Its correlation with time in the SMBR is moderate (R2= 0.3316). MS Excel 2016 and Minitab 16.0 programs were utilized in the statistical analyses.
Citation - Scopus: 25
Analog VLSI Design Automation
(CRC Press, 2003) Balkir,S.; Dündar,G.; Öğrenci,A.S.
The explosive growth and development of the integrated circuit market over the last few years have been mostly limited to the digital VLSI domain. The difficulty of automating the design process in the analog domain, the fact that a general analog design methodology remained undefined, and the poor performance of earlier tools have left the analog. © 2003 by CRC Press LLC.
Citation - Scopus: 1
Analysis and Optimization of the Network Throughput in IEEE 802.15.13 based Visible Light Communication Networks
(IEEE, 2021) Bulbul, Yusuf; Elamassie, Mohammed; Baykas, Tuncer; Uysal, Murat
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks (OWPAN) standard draft. The underlying MAC protocol uses contention free and contention access periods. For a standard-compliant VLC network, we analyze the network load and propose an algorithm to improve the network throughput by proper selection of period lengths. Our suggested algorithm improves the network performance by at least 5% in the case of variable network traffic up to 15 active users.
Citation - WoS: 2
Citation - Scopus: 5
Analysis of deep learning based path loss prediction from satellite images
(IEEE, 2021) Alam, Muhammad Z.; Ates, Hasan F.; Baykas, Tuncer; Gunturk, Bahadir K.
Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands faster determination of at least major channel parameters. In this paper, we investigate the idea of using deep convolutional neural networks and satellite images for channel parameters (i.e., path loss exponent n and shadowing factor sigma) prediction in a cellular network with aerial base stations. Specifically, we investigate the performance dependency of the method on three different factors: height of the transmitter antenna, quantization levels of the channel parameters and architectural design of CNN. The results presented in this paper show a high prediction accuracy of the channel parameters in real-time.
Citation - Scopus: 2
Analysis of the Effects of Intermodal Terminals for the Solutions of Urban Logistics Problems in Istanbul City
(Springer Science and Business Media B.V., 2016) Görçün,Ö.F.
We analyzed the urban logistics problems in Istanbul City, and we tried to show the solutions of these problems thanks to intermodal freight terminals. Istanbul is a center of trade, tourism, and industry; 60 % of total logistics activities take place in Istanbul. At the same time, capacities, infrastructures, and performance of logistics system are affecting the logistics systems and industries of European countries and neighborhoods. However, solving the urban logistics problems have become regional and global ones and especially European countries, industries, and their commercial actors cannot ignore these problems. In addition to urban freight flows, high volume of international and domestic cargo flows causes different problems related to urban logistics. On the other hand, Istanbul has the different logistics nodes as airports, organized industrial zones, business centers, whereas logistics networks and links between nodes are not required level. This study focuses on the logistics nodes, relationships, opportunities and facilities of transportation, and effects of intermodal freight terminals to solving problems of the insufficient connections between these nodes. © Springer International Publishing Switzerland 2016.
Citation - Scopus: 2
Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
(2007) Tander, B.; Özmen, A.
In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design.
Analyzing the Structure of Groupoids of Order 3, 4, and 5 Using PCA
(Springer Science and Business Media Deutschland GmbH, 2025) Mollakuqe, E.; Daǧ, H.; Mollakuqe, V.; Dimitrova, V.
Groupoids are algebraic structures, which generalize groups by allowing partial symmetries, and are useful in various fields, including topology, category theory, and algebraic geometry. Understanding the variance explained by Principal Component Analysis (PCA) components and the correlations among variables within groupoids can provide valuable insights into their structures and relationships. This study aims to explore the use of PCA as a dimensionality reduction technique to understand the variance explained by different components in the context of groupoids. Additionally, we examine the interrelationships among variables through a color-coded correlation matrix, facilitating insights into the structure and dependencies within groupoid datasets. The findings contribute to the broader understanding of data representation and analysis in mathematical and computational frameworks. © 2025 Elsevier B.V., All rights reserved.
An Ant-Lion Optimization Based Approach to Solve Phase Balancing Problem in Distribution Networks
(IEEE, 2024) Yesilyurt, Gunnur; Ceylan, Oguzhan
Phase unbalance is a significant issue for power distribution networks. It can lead to increased energy losses and voltage instability, undermining the electrical grid's reliability and efficiency. We propose an approach to minimize voltage unbalance through reactive power management from PV installations and the optimization of charging/discharging of energy storage devices utilizing a control algorithm based on Ant-Lion Optimizer. We tested the approach on the IEEE 123-Bus Test System, incorporating PV generations by daily simulations. From the results, the combined operation of reactive power support from PVs and Storage Units with the help of the ALO algorithm offers a promising solution to the phase unbalance problem.
The Applicable Law to Proprietary Issues on Digital Assets Considering Recent Developments: Lex Rei Sitae or Not?
(Istanbul University Press, 2025) Ömeroglu, E.
The legal nature of digital assets and the applicable law for digital assets have been debated in recent years in many legal systems, including Turkish law. The inability to reach a definite conclusion on evaluating the legal nature of digital assets in Turkish law makes it difficult to determine the applicable law to proprietary issues on digital assets in private international law. In the context of conflict of laws rules, determining the applicable law for rights over digital assets depends more on the medium in which the asset is recorded than its function. National legislators and legal institutions are seeking new connecting factors beyond the traditional lex rei sitae principle, given that digital assets predominantly exist in electronic environments. Therefore, our study aims to address how to bridge the gap in Turkish private international law concerning the applicable law for digital asset proprietary issues by drawing on comparative law developments. © 2025 Elsevier B.V., All rights reserved.

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