Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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A Generalization of Fixed Point Result of Nonlinear Cirić Type Contraction on Suprametric Spaces
(University of Nis, 2025) Yalçin, C.; Bilazeroglu, S.
In this study, the nonlinear technique: (ψ,ϕ)-weak contraction, created by Dutta and Choudhury [6], is used to make the Ćirić type contraction nonlinear. Moreover, it is demonstrated that there is unique fixed point in suprametric space for this nonlinear Ćirić type contraction. © 2025, University of Nis. All rights reserved.
Citation - WoS: 10
Citation - Scopus: 10
About Lagrangian Formulation of Classical Fields Within Riemann-Liouville Fractional Derivatives
(American Society of Mechanical Engineers, 2005) Baleanu, D.; Muslih, S.I.
Recently, an extension of the simplest fractional problem and the fractional variational problem of Lagrange was obtained by Agrawal. The first part of this study presents the fractional Lagrangian formulation of mechanical systems and introduce the Levy path integral. The second part is an extension to Agrawal's approach to classical fields with fractional derivatives. The classical fields with fractional derivatives are investigated by using the Lagrangian formulation. The case of the fractional Schrödinger equation is presented. Copyright © 2005 by ASME.
About Nanometer Sized Analogues of Basic Electronic and Optical Components
(Ieee, 2008) Quandt, A.; Özdoǧan, C.; Ferrari, M.; Speranza, G.
We discuss a downsizing of optical components into the nanometer range. It presupposes the substitution of photons by ballistic electrons, but it also requires a simple and robust concept to assemble the analogues of basic electronic and optical components on such a tiny length scale. Here, one of the most promising candidate schemes employs graphene as a basic nanosubstrate. We elucidate the suggested behaviour of graphene as an electronic metamaterial [1], and show that other desired electronic or optical functionalities may be obtained through a patterning with sub-nanometer sized boron clusters [2]. © 2008 IEEE.
Citation - Scopus: 2
About the Fn Approximation To Fractional Neutron Transport Equation in Slab Geometry
(Amer Soc Mechanical Engineers, 2011) Baleanu, D.; Kadem, A.
The neutron transport denotes the study of the motions and interactions of neutrons with materials. In given applications we need to know where neutrons are in an apparatus, what direction they are moving, and how fast they are going. In this manuscript the Legendre polynomial approximation method F N was applied to the one dimensional slab geometry neutron transport equation. © 2011 by ASME.
Citation - WoS: 1
The Adaptation of Modern Housing Heritage: Authenticity and Integrity in the Case of Cité Modèle
(Univ Politecnica Valencia, Editorial Upv, 2024) Ozmen, Ayca
The post-war social housing estate, Cit & eacute; Mod & egrave;le (Model City) in Laeken-Brussel (BE) was designed with CIAM principles in 1950s as a high-rise modern residential district where different types of dwellings integrated with car-free zones, wide green areas and various social facilities. Today it is an exceptional urban site in the history of modern architecture in Belgium. However, physical deterioration and socio-economic vulnerability necessitated the adaptation of the settlement in 2005, leading to the preparation of a masterplan which included a twelve-year of rehabilitation programme. Different types of interventions, both prior to this masterplan and in accordance with it, have led to changes in different attributes of this living heritage site. This paper aims to discuss the impacts of various conservation and adaptation strategies on the authenticity and integrity of the modern housing heritage, while considering expanding and questioning their definitions. The methodology includes literature review, field surveys, case study analyses, and comparative tabular evaluations to explore the dimensions of authenticity and integrity in modern housing heritage. The research on this case study has the potential to address a notable question in the literature on both architectural conservation and design based on the dialogue between continuity and change, and the re-interpretation of authenticity and integrity regarding a living modern heritage site.
Advanced Theoretical and Applied Studies of Fractional Differential Equations 2013
(Hindawi Publishing Corporation, 2014) Baleanu, Dumitru; Trujillo, Juan J.; Ahmad, Bashir
Citation - WoS: 8
Citation - Scopus: 10
Aggregation Operators for Interval-Valued Intuitionistic Fuzzy Hypersoft Set With Their Application in Material Selection
(Hindawi Ltd, 2022) Zulqarnain, Rana Muhammad; Siddique, Imran; Jarad, Fahd; Karamti, Hanen; Iampan, Aiyared
The intuitionistic fuzzy hypersoft set (IFHSS) is the most generalized form of the intuitionistic fuzzy soft set used to resolve uncertain and vague data in the decision-making process, considering the parameters' multi-sub-attributes. Aggregation operators execute a dynamic role in assessing the two prospect sequences and eliminating anxieties from this perception. This paper prolongs the IFHSS to interval-valued IFHSS (IVIFHSS), which proficiently contracts with hesitant and unclear data. It is the most potent technique for incorporating insecure data into decision-making (DM). The main objective of this research is to develop the algebraic operational laws for IVIFHSS. Furthermore, using the algebraic operational law, some aggregation operators (AOs) for IVIFHSS have been presented, such as interval-valued intuitionistic fuzzy hypersoft weighted average (IVIFHSWA) and interval-valued intuitionistic fuzzy hypersoft weighted geometric (IVIFHSWG) operators with their essential properties. Multi-criteria group decision-making (MCGDM) technique is vigorous for material selection. However, conventional methods of MCGDM regularly provide inconsistent results. Based on the expected AOs, industrial enterprises propose a robust MCGDM material selection method to meet this shortfall. The real-world application of the planned MCGDM method for cryogenic storing vessel material selection (MS) is presented. The implication is that the designed model is more efficient and consistent in handling information based on IVIFHSS.
Citation - WoS: 1
Citation - Scopus: 2
Alternative Enhancement of Associativity Based Routing (Aeabr) for Mobile Networks
(Springer, 2010) Preveze, B.; Şafak, A.
This study proposes an alternative enhancement for the Enhanced Associativity Based Routing (EABR) method which is a derivation of ABR (Associativity Based Routing) by relative speed and relative distance estimation using the received power strength (RPS) of the nodes. In this study, it is shown that EABR outperforms some other well known protocols. The performance of EABR is improved in terms of number of route reconstructions (RRC) and connected status percentage (CSP). Message overhead and bandwidth utilization is also investigated. © 2010 ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
Analysis of Condensation Risk in a Wall Section in the Context of Climate Change Scenarios
(Horizon Research Publishing, 2024) Saricioglu, P.; Aycam, İ.; Harputlugil, G.U.
The effects of climate change can be seen in many areas. Although there are many causes of climate change (changes in solar radiation, differences in the Earth’s orbit, continental shifts and changes in the atmosphere), one of the most noticeable causes in the 21st century is anthropogenic effects. One area where these impacts can be seen is the construction sector in buildings and building façades. Climate change will change assumptions about façade design in the coming decades. For this reason, it is important to develop climate change projections for existing and new buildings. For this purpose, the literature has three basic climate models. Therefore, the aim of this study is to compare the condensation risk for a wall section in a city with a humid-temperate climate (Zonguldak, Turkey) using HadGEM, MPI and GFDL climate models according to RCP8.5 scenario data for the historical period 2015 and the future year 2081. Within the scope of the study, the average temperatures and relative humidity values were obtained from GDM (General Directorate of Meteorology) by choosing 2081 and 2015, which are frequently used in climate change studies based on the literature. In the method, the projection results for the historical and future periods were compared and became the basis for the next stage. In the next step, based on the literature, the condensation control in the wall section was compared for the past and future using the Glaser method, which is frequently used in condensation control in wall sections and included in the TS 825 standard created for Turkey, which corresponds to EN ISO 13788 and DIN 4108 standards. According to the results, the humidity and temperature fluctuations in the future period and increase in averages are important problems that need to be addressed in detail in façade design and the impact of condensation risk. Therefore, according to the condensation control calculations made in the wall section detail, condensation risk occurs in the future period. Consequently, assumptions in façade design will need to change for existing and future buildings to accommodate condensation risk. © 2024 by authors, all rights reserved.
Citation - Scopus: 2
Analysis of Delay Factors for Voice Over Wimax
(Ieee, 2008) Safak, A.; Preveze, B.
This paper presents the results of our computer simulation for delays experienced by voice packets over WiMAX 802.16e protocol running over an enterprise packet network connected to public internet. In the simulation we analyzed the effect of packet size, core network link speed, internet service provider link speed, wireless network link speed, wireless distance, base station range, and distance in internet parameters that effect the amount of delay in a WiMAX embedded IP network. In this study, all the delay parameters are fixed to their default values and current parameter values are changed so that the delay is varied between minimum and maximum values in uniformly distributed 100 steps and the delay is plotted in each step. Total fixed delays can be considered as minimum delay and variable delay corresponds to the maximum delay that can occur under the given conditions. All other fixed and variable delay parameters such as switching delays, packetization delays, contention delays and the delays caused by buffers etc. are also taken into account. The results indicate that among these delays WiMAX base station range and the number of base stations play the most decisive role. © 2008 IEEE.
Analysis of Mooc Data With Educational Data Mining: Systematic Literature Review
(TUBITAK, 2025) Orman, R.; Cağıltay, N.E.; Cakır, H.
Participants’ performance is one of the critical factors for the success of the platforms. There is a lot of data in Massive Open Online Course platforms that are free and open to everyone, and due to this large amount of educational data, it is difficult to make accurate predictions and inferences. The primary purpose of this research is to conduct a literature review to discover the existing Educational Data Mining methods and techniques used to analyze Massive Open Online Course data. For this purpose, the focus is on the source from which the data is collected, which Educational Data Mining methods and techniques are used, and which tools are used in the analysis to compare different approaches. A total of 32 articles published between 2013-2024 were included in the scope of the study. According to the findings, there are many algorithms used for Educational Data Mining methods and techniques in the analysis of Massive Open Online Course data. The most preferred algorithm in the studies is “K-Means”, followed by “Support Vector Machines”, “Decision Trees” and “Random Forest”. Coursera and Edx are among the platforms used and preferred worldwide. It is anticipated that making the data available on these platforms public will contribute to further research and guide studies in the education field. Privacy and ethics also come to the fore within the scope of open data publication. In this context, developing some standards and new approaches to share data with researchers in a standard form that does not include privacy violations will significantly contribute to studies conducted in this field. © 2025, TUBITAK. All rights reserved.
Andropov, Yuri Vladimirovich (1914-1984)
(Bloomsbury Publishing Plc., 2014) Karadelli, S.C.
Application of a Voting-Based Ensemble Method for Recognizing Seven Basic Emotions in Real-Time Webcam Video Images
(Institute of Electrical and Electronics Engineers Inc., 2024) Sanli, A.T.; Saran, M.
This study examines the automatic recognition of human emotions in real-time through facial expressions from webcams. Real-time emotion recognition is a crucial element in human-computer interaction and emotional computing. The study evaluates the effectiveness of various techniques in real-time facial emotion recognition using a custom CNN model, creating an ensemble with a voting mechanism, and integrating the system for real-time emotion recognition. The CNN model was trained on the FER2013 dataset, which consists of facial images labeled with different emotional states. It achieved a remarkable accuracy of 95%. In this study, we developed a dataset named ATS-FER2024, which consists of 184 images depicting seven distinct emotions. The tests conducted on this dataset yielded an accuracy rate of 89%. Despite its small size, the dataset's accuracy is noteworthy. The findings contribute to academic knowledge on developing emotion recognition systems, enhancing empathy, and creating context-sensitive interactions in real-world applications. © 2024 IEEE.
Citation - Scopus: 2
An Application of Data Mining and Knowledge Discovery Process in the Field of Natural Gas Exploration
(Institute of Electrical and Electronics Engineers Inc., 2014) Acar, M.A.; Tolun, M.R.; Elbaşi, E.
Natural gas exploration has been shifting significantly in the last decades with the progression of new ingenious technologies. However, such technologies generates large amount of data sets and handling of them create problems such as interpretation of data. To solve such problems Data Mining techniques could be used. This work includes the application procedure of Data Mining and Knowledge Discovery to Natural Gas Well Log data using a set of algorithms and a decent Data Mining tool. And the success of each algorithm in terms of the amount of useful rules is compared.
Application of Various Modelling Techniques Into Consumer Confidence Index
(CRC Press, 2025) Kalayci, B.; Purutçuoğlu, V.; Weber, G.W.; Uğur, Ö.; Defterli, Ö.
The principles of sentiment are presented by economic conditions such that most of the variance in consumer sentiment is caused by economic situations, either directly or indirectly. There are political and economic repercussions to investors’ economic optimism or pessimism. Customer expenditures and hence, the direction of the economy’s future are predicted by the degree of consumer confidence. Investors, who are in a similar way, are positioned economically, but, have different biased thoughts bringing forward quite different sentiments about the future of economics. © 2025 CRC Press.
Citation - WoS: 2
Citation - Scopus: 2
An Approach To Discrete Convexity and Its Use in an Optimal Fleet Mix Problem
(Springer-verlag Berlin, 2007) Cambini, R.; Riccardi, R.; Yüceer, Ü.
A notion of convexity for discrete functions is first introduced, with the aim to guarantee both the increasing monotonicity of marginal increments and the convexity of the sum of convex functions. Global optimality of local minima is then studied both for single variable functions and for multi variables ones. Finally, a concrete optimal fleet mix problem is studied, pointing out its discrete convexity properties. © 2006 Springer-Verlag Berlin Heidelberg.
Citation - Scopus: 2
Approaches on the Selection of Web Cameras and Calibration Targets for Stereo Vision
(Ieee, 2006) Eren, Haluk; Celik, Umit; Poyraz, Mustafa
In this paper, it is studied on the calibration by using specified web cameras. The performance of 3D computer vision depends on the accuracy of camera parameters. Therefore, camera calibration is very crucial in stereo vision. In this study, the options and selection of the target object that is used by the process of camera calibration are reviewed and evaluated some results obtained by web cameras. Webcams' costs are low relatively to the other digital consumer cameras but cannot be acquired a high resolution image.
Artificial Intelligence in Dentistry
(CRC Press, 2025) Cagiltay, Nergiz Ercil; Kılıçarslan, Mehmet Ali; Basmaci, Fulya
Today, with advanced technologies, collecting detailed and big data from the environment and analyzing it using intelligent techniques has become possible, providing important insights into phenomena as well as future predictions. Big data is characterized by its high volume, velocity, and variety. Here, the volume is the amount and size of the data, which is measured in terabytes, petabytes, exabytes, or zettabytes. Velocity is the offered form of big data, which can be batch, near-real-time, real-time, or streaming. Finally, variety is the structure of the big data, which can be structured, such as in relational or dimensional models, as in warehouses, or unstructured, which is stored without any organization. It can also be in semi-structured form, where the data is unstructured but there is some meta-data or some tags for describing the data. Today, these forms of data are being collected for different dental purposes in several formats, such as images, raw data, or coordinates. © 2025 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Artificial Intelligence-Assisted Translation in Education: Academic Perspectives and Student Approaches
(Ozgen Korkmaz, 2024) Özmat, D.; Akkoyunlu, B.
Although artificial intelligence is present in many areas of life, making life easier, it also necessitates the updating of certain professions or curriculum of university departments. In this regard, it is considered important to determine how AI-based translation tools will specifically affect translation studies and to gather the opinions of students and faculty members in these departments. This study aims to examine the opinions of Translation and Interpreting Department students and faculty members on the use of artificial intelligence in translation studies. The research was conducted with 7 faculty members, 1 translation expert, and 15 final-year students at a foundation university. Data were collected through semi-structured interview forms and evaluated using content analysis. Students expressed concerns that artificial intelligence will reduce job opportunities in the profession. They also believe that the use of AI weakens memory and leads to laziness. Some students have noted that AI undermines and weakens the teacher-student relationship. Faculty members, on the other hand, think that AI will redefine the translator’s roles in the profession and provide significant support. Whilst the students advocate for the inclusion of AI in post-graduate professional life rather than in undergraduate education and support it with extracurricular activities, the faculty members underline the need to increase the integration of AI into translation studies education, provide in-service training, and expedite curriculum development studies. These results highlight different perspectives on the use of artificial intelligence in the field of translation studies and suggest recommendations that could contribute to the curriculum of translation departments. © 2024, Ozgen Korkmaz. All rights reserved.
Citation - Scopus: 3
Autoregressive Models With Stochastic Design Variables and Nonnormal Innovations
(2011) Bayrak, O.T.; Akkaya, A.D.
In autoregression models the design variable has traditionally been assumed to be non-stochastic and innovations are normal. In most real life situations, however, the design variable is stochastic having a non-normal distribution as the innovations. Modified maximum likelihood method is utilized to estimate unknown parameters in such situations. Closed form estimators are obtained and shown to be efficient and robust.

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