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Scopus İndeksli Yayınlar Koleksiyonu

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

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1998 - 199932000 - 20094172010 - 20191.5K

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COAR Access Rights: search.filters.coarAccessRights.metadata only accessEnd date: 2019

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Now showing 1 - 10 of 1915
  • Editorial
    Preface
    (de Gruyter, 2019) Baleanu, Dumitru; Lopes, António Mendes; Hristov, Jordan; Anastassiou, George A.; Karapınar, Erdal; Salim, Abdelkrim; Benchohra, Mouffak; Singh, Jagdev; Cattani, Carlo; Kumar, Devendra; Dutta, Hemen; Lazreg, Jamal Eddine
  • Editorial
    Introduction
    (Springer, 2008) Aydogan, N.
  • Conference Object
    The Implementation of a Successive Cancellation Polar Decoder on Xilinx System Generator
    (Institute of Electrical and Electronics Engineers Inc., 2017) Arli, A.Ç.; Colak, A.; Gazi, O.
    Polar coding is the first kind of the capacity achieving codes which are defined for binary-input discrete memoryless channels initially. Parallel processing property of the FPGA allows to decode faster with a margin of complexity. Xilinx System Generator as a practical tool to construct decoding designs in shorter time is a fact. In this study, FPGA implementation of decoding polar codes through Xilinx System Generator is shown. © 2023 Elsevier B.V., All rights reserved.
  • Conference Object
    Covariance Features for Trajectory Analysis
    (Institute of Electrical and Electronics Engineers Inc., 2016) Karadeniz, T.; Maras, H.H.
    In this work, we aimed to demonstrate that covariance estimation methods can be used for trajectory classification. We have shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. We have arrived to the conclusion that, when compared to Dynamic Time Warping, the explained technique is faster and may yield more accurate results. © 2017 Elsevier B.V., All rights reserved.
  • Book Part
    Citation - Scopus: 4
    Parallel Data Reduction Techniques for Big Datasets
    (IGI Global, 2016) Yıldırım, A.A.; Özdoǧan, C.; Watson, D.
    Data reduction is perhaps the most critical component in retrieving information from big data (i.e., petascale-sized data) in many data-mining processes. The central issue of these data reduction techniques is to save time and bandwidth in enabling the user to deal with larger datasets even in minimal resource environments, such as in desktop or small cluster systems. In this chapter, the authors examine the motivations behind why these reduction techniques are important in the analysis of big datasets. Then they present several basic reduction techniques in detail, stressing the advantages and disadvantages of each. The authors also consider signal processing techniques for mining big data by the use of discrete wavelet transformation and server-side data reduction techniques. Lastly, they include a general discussion on parallel algorithms for data reduction, with special emphasis given to parallel waveletbased multi-resolution data reduction techniques on distributed memory systems using MPI and shared memory architectures on GPUs along with a demonstration of the improvement of performance and scalability for one case study. © 2025 Elsevier B.V., All rights reserved.
  • Book Part
    Citation - Scopus: 1
    Enterprise Architecture for Personalization of E-Government Services: Reflections From Turkey
    (IGI Global, 2012) Erdem, A.; Medeni, İ.T.; Medeni, T.D.
    As there has not yet been enough work on enterprise architectures for fully integrated knowledge-based, highly-sophisticated (citizen-oriented) personalized services, this chapter aims to articulate a perspective to design architectures for the development and provision of sophisticated, personalized services. Doing so, the authors benefit from their knowledge and experience in the Turkish e-Government Gateway (eGG) and general e-Government services development and provision. First providing an introduction and background information, the chapter discusses the development of eGG services in Turkey, and then provides a visionary suggestion for knowledge-based personalized, citizen-centric e-Government. Among the suggested perspectives, an E-Citizen Decision Support System, and Entity-Utility and Information Flow Model could be useful for eGG development in Turkey and elsewhere. © 2025 Elsevier B.V., All rights reserved.
  • Book Part
    Middle East Policy, Regional Powers
    (Bloomsbury Publishing Plc., 2019) Karadeli, Sedat Cem; Leitich, Keith A.; Pierpaoli, Paul G.; Tucker, Spencer C.
  • Book Part
    Citation - Scopus: 1
    The NGO Forum
    (IGI Global, 2008) Nahar, Nurun; Medeni, Tunç Durmuş; Medeni, Tolga
    This article examines the unique characteristics of the NGO forum as a networked organization, that is, an organization structure that relies on multiparty cooperative relationships between people across structural, temporal and geographic boundaries. It studies the working methodology of the forum to discover the knowledge creation process and how such an organization utilizes its experience and knowledge work to be a successful development partner with all concerned stakeholders. Moreover, communication among forum stakeholders is not the result of random, but deliberate interactions done in the manner of a community of practice (CoP), which in turn is a part of the epistemic community that is influencing the national, global policies on water and sanitation. The study also brings out that an “environmental information system” is very important for it to function as a networked organization. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Unit Root Testing in the Presence of Mean Reverting Jumps: Evidence From US T-Bond Yields
    (Walter de Gruyter GmbH, 2019) Ilalan, Deniz; Ozel, Ozgur
    Mean reversion of financial data, especially interest rates is often tested by linear unit root tests. However, there are times where linear unit root test results can be misleading especially when mean reverting jump formations are at stage. Considering this framework, we provide a new unit root testing methodology and compute its asymptotic critical values via Monte Carlo simulation. Moreover, we numerically compare the power of this generalized mean reversion test with the pioneering linear unit root test in the literature namely the Augmented Dickey Fuller (ADF) test. We deduce that our test is a refinement of ADF test with a higher power. Weapply our findings to US 10-year Treasury bond yields. We aim to shed light to the discussion among researchers whether interest rates can sometimes revert to a long-term constant mean or not from an unorthodox point of view.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 2
    Surface Terms, Angular Momentum and Hamilton-Jacobi Formalism
    (Soc Italiana Fisica, 2003) Güler, Y; Baleanu, Dumitru; Baleanu, D; Cenk, M; Matematik
    Quadratic Lagrangians are introduced adding surface terms to a free-particle Lagrangian. Geodesic equations are used in the context of the Hamilton-Jacobi formulation of a constrained system. The manifold structure induced by the quadratic Lagrangian is investigated.