Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
Browse
Recent Submissions
Article Mathematical Analysis and Numerical Simulations of Ternary Hybrid Nanoparticles Using Eyring Prandtl Model(Engineered Science Publisher, 2026) Abdalla, Bahaaeldin; Zeb, Hussan; Jarad, Fahd; Oweidi, Khalid Fanoukh Al; Ali, Zeeshan; Abdeljawad, Thabet; Shah, KamalArticle Diffraction of Waves by a Wedge with Phase Conjugate Faces(Association for Scientific Research, 2011) Umul, Yusuf ZiyaConference Object Web Service-Based Turkish Automatic Speech Recognition Platform(Institute of Electrical and Electronics Engineers Inc., 2020) Polat, Huseyin; Sever, Hayri; Oyucu, SaadinArticle Widths and Entropy of Sets of Smooth Functions on Compact Homogeneous Manifolds(Tubitak, 2021) LEVESLEY, Jeremy; KUSHPEL, Alexander; Taş, KenanArticle Vessel Segmentation in MRI Using a Variational Image Subtraction Approach(Tubitak Scientific & Technological Research Council Turkey, 2014) Nar, Fatih; Saran, Ayse Nurdan; Saran, MuratVessel segmentation is important for many clinical applications, such as the diagnosis of vascular diseases, the planning of surgery, or the monitoring of the progress of disease. Although various approaches have been proposed to segment vessel structures from 3-dimensional medical images, to the best of our knowledge, there has been no known technique that uses magnetic resonance imaging (MRI) as prior information within the vessel segmentation of magnetic resonance angiography (MRA) or magnetic resonance venography (MRV) images. In this study, we propose a novel method that uses MRI images as an atlas, assuming that the patient has an MRI image in addition to MRA/MRV images. The proposed approach intends to increase vessel segmentation accuracy by using the available MRI image as prior information. We use a rigid mutual information registration of the MRA/MRV to the MRI, which provides subvoxel accurate multimodal image registration. On the other hand, vessel segmentation methods tend to mostly suffer from imaging artifacts, such as Rician noise, radio frequency (RF) inhomogeneity, or partial volume effects that are generated by imaging devices. Therefore, this proposed method aims to extract all of the vascular structures from MRA/MRI or MRV/MRI pairs at the same time, while minimizing the combined effects of noise and RF inhomogeneity. Our method is validated both quantitatively and visually using BrainWeb phantom images and clinical MRI, MRA, and MRV images. Comparison and observer studies are also realized using the BrainWeb database and clinical images. The computation time is markedly reduced by developing a parallel implementation using the Nvidia compute unified device architecture and OpenMP frameworks in order to allow the use of the method in clinical settings.Article Vertical and Horizontal Spillovers from Foreign Direct Investment: Evidence from Malaysian Manufacturing(MIT Press Journals, 2017) Dogan, Ergun; Wong, Koi Nyen; Yap, Michael M.C.Article The Role and Importance of Human Capital in Exports and Growth: The Case of Türkiye(Inderscience Publishers, 2026) Temiz, Dilek; Gökmen, AytaçArticle Two-Variable Quantum Integral Inequalities of Simpson-Type Based on Higher-Order Generalized Strongly Preinvex and Quasi-Preinvex Functions(MDPI AG, 2020) Rashid, Saima; Baleanu, Dumitru; Idrees, Muhammad; Kalsoom, Humaira; Chu, Yu-MingArticle The Analytical Analysis of Time-Fractional Fornberg-Whitham Equations(MDPI AG, 2020) Baleanu, Dumitru; Shah, Rasool; Aly, Shaban; Khan, Hassan; Alderremy, A.A.Article The Lebesgue Constants on Projective Spaces(Tubitak Scientific & Technological Research Council Turkey, 2021) Kushpel, AlexanderWe give the solution of a classical problem of Approximation Theory on sharp asymptotic of the Lebesgue constants or norms of the Fourier-Laplace projections on the real projective spaces P-d (R). In particular, these results extend sharp asymptotic found by Fejer [2] in the case of S-1 in 1910 and by Gronwall [4] in 1914 in the case of S-2. The case of spheres, S-d, complex and quaternionic projective spaces, P-d(C), P-d(H) and the Cayley elliptic plane P-16 (Cay) was considered by Kushpel [8].Article Spinning the Tale: Spinster Detectives and the Construction of Narrative in the Miss Silver Mysteries(Cyprus International University, 2020) Saǧlam, BerkemConference Object Small and Unbalanced Data Set Problem in Classification(Institute of Electrical and Electronics Engineers Inc., 2019) Akcapinar Sezer, Ebru; Sever, Hayri; Par, Oznur EsraArticle Soliton Solutions of Mathematical Physics Models Using the Exponential Function Technique(MDPI AG, 2020) Javeed, Shumaila; Waheed, Asif; Suleman, Muhammad; Baleanu, Dumitru; Atif, M.; Alimgeer, Khurram Saleem; Nawaz, SidraArticle Singular Dirac Systems in the Sobolev Space(Tubitak Scientific & Technological Research Council Turkey, 2017) Ugurlu, EkinIn this paper we construct Weyl's theory for the singular left-definite Dirac systems. In particular, we prove that there exists at least one solution of the system of equations that lies in the Sobolev space. Moreover, we describe the behavior of the solution belonging to the Sobolev space around the singular point.Article Simheuristic Framework for Optimizing Urban Mobility at Signalized Roundabouts(DAAAM International Vienna, 2026) Gokce, M. A.; Qadri, S. S. S. M.; Oner, E.Managing high traffic volumes and traffic congestion at signalized intersections remains a critical urban challenge. Appropriate traffic signal timing (TST) and phase sequencing are essential for ensuring smooth traffic flow. This study presents a microscopic simulation-based heuristic optimization (Simheuristic) framework using the Genetic Algorithm (GA) for optimizing the TST of Four-Legged Two-stops Signalized Roundabouts (FLTSR). The framework is tested using the actual traffic flow through a microscopic simulation model developed in Simulation for Urban Mobility (SUMO). Within this framework, the integrated GA searches for the green TSTs to minimize vehicular queue lengths, while SUMO is used to evaluate those timings. Additionally, four different phase sequence settings are evaluated to find the efficient configuration. The proposed approach is benchmarked against Webster's method and the existing TST plan. In the best-case scenario, the proposed framework improves vehicular flow by mitigating the average time loss, average waiting time, and the average number of vehicles in a queue at the FLTSR up to 35.83 %, 51.91 %, and 50.97 %, respectively, compared to the current setting. (Received in November 2025, accepted in January 2026. This paper was with the authors 1 month for 1 revision.)Article Shape-Preserving Properties of a Relaxed Four-Point Interpolating Subdivision Scheme(MDPI AG, 2020) Baleanu, Dumitru; Nisar, Kottakkaran Sooppy; Ghaffar, Abdul; Khan, Faheem; Ashraf, Pakeeza; Sehar, IremArticle Sequential Langevin Equations Involving a Generalized Type of Caputo Derivatives(Kyungnam University Press, 2026) Fettouch, Houari; Dahmani, Zoubir; Beddani, Hamid; Ibrahim, Rabha Wael; Jarad, FahdPublication RETRACTED: Finite Element Study of Magnetohydrodynamics (MHD) and Activation Energy in Darcy–Forchheimer Rotating Flow of Casson Carreau Nanofluid(Multidisciplinary Digital Publishing Institute (MDPI), 2020) Baleanu, Dumitru; Bano, Sehrish; Ali, Bagh; Hussain, Sajjad; Rasool, GhulamArticle Revealing Fractional Effects in an Asymmetric Two-Dimensional Oscillator through Variational Mechanics(SAGE Publications Ltd, 2026) Baleanu, Dumitru; Defterli, Ozlem; Asad, Jihad; Jajarmi, Amin; AlShaikh Mohammad, Noorhan F.The present study is an application of a generalized Lagrangian-Hamiltonian approach to the analysis of an asymmetric two-dimensional harmonic oscillator with the use of the Caputo fractional derivative. Fractional Euler-Lagrange and Hamiltonian equations were systematically developed and then solved numerically using a predictor-corrector version of the Adams-Bashforth-Moulton method. The results show that decreasing the value of the fractional order (alpha) generates a form of memory-based damping within the system that transforms the classical closed orbits of phase space into spiral inward trajectories and causes the total energy of the system to decrease according to a power law, regardless of whether there are any dissipative forces in the system. It was demonstrated that both the degree of coupling and the degree of asymmetry can cause the system to lose energy at different rates and to have different amounts of attenuation in each direction. It was also demonstrated that the model provides a smooth transition to classical conservative behavior as alpha approaches unity, which confirms the physical validity of this representation. This demonstrates that fractional variational mechanics provides a consistent and physically meaningful way to describe the transition from conservative to dissipative behavior for coupled oscillating systems that are governed by memory and non-local effects.Conference Object Reinforcement Learning Meets the Cloud: A Q Learning Framework for Efficient Task Scheduling(Institute of Electrical and Electronics Engineers Inc., 2025) Boke, Kivilcim Naz; Qadri, Syed Shah Sultan Mohiuddin; Kabarcik, Ahmet
