• Comparative Study For Identification Of Multiple Alarms In Telecommunication Networks 

      Yilmaz, Atila (Tubitak Scientific & Technical Research Council Turkey, 2017)
      Telecommunication networks consist of communication units interconnected physically or by means of protocols in order to provide basic services like data, voice, or image transfers. In this study, a modeling frame for ...
    • Lonolab-Map: An Automatic Spatial Interpolation Algorithm for Total Electron Content 

      Deviren, Muhammet Necat; Arikan, Feza (Tubitak Scientific & Technical Research Council Turkey, 2018)
      Investigation of the variability of total electron content (TEC) is one of the most important parameters of the observation and monitoring of space weather, which is the main cause of signal disturbance in space-based ...
    • Lonolab-Ray: A Wave Propagation Algorithm for Anisotropic and Inhomogeneous Ionosphere 

      Erdem, Esra; Arikan, Feza (Tubitak Scientific & Technical Research Council Turkey, 2017)
      A high-frequency (HF) radio wave propagation model based on ray tracing for anisotropic, inhomogeneous, and time-varying ionosphere is developed to form the basis for a user-friendly modular algorithm. The algorithm ...
    • Regional Ionospheric Trend Statistics: Ionolab-Pdf 

      Koroglu, Ozan; Arikan, Feza (Tubitak Scientific & Technical Research Council Turkey, 2017)
      The ionosphere plays an important role for HF bands, space-based positioning systems, satellite communication, and propagation. The variability of the ionosphere has a complex spatiotemporal characteristic, which depends ...
    • Relay Sliding Mode Control Based on the Input-Output Model 

      Kumbay Yıldız, Solen; Demircioğlu, Hüseyin (Tubitak Scientific & Technical Research Council Turkey, 2016)
      Uncertainties, parameter changes, and disturbances lie among the most frequently encountered problems in practical control applications. Sliding mode control (SMC) is one of the robust control methods developed to provide ...
    • Statistical Learning Approaches In Diagnosing Patients With Nontraumatic Acute Abdomen 

      Zararsiz, Gokmen; Akyildiz, Hizir Yakup; Goksuluk, Dincer; Korkmaz, Selcuk; Ozturk, Ahmet (Tubitak Scientific & Technical Research Council Turkey, 2016)
      A quick evaluation is required for patients with acute abdominal pain. It is crucial to differentiate between surgical and nonsurgical pathology. Practical and accurate tests are essential in this differentiation. Lately, ...
    • Unsupervised Learning Of Allomorphs In Turkish 

      Can, Burcu (Tubitak Scientific & Technical Research Council Turkey, 2017)
      One morpheme may have several surface forms that correspond to allomorphs. In English, ed and d are surface forms of the past tense morpheme, and s, es, and ies are surface forms of the plural or present tense morpheme. ...
    • Wideband Analysis Of Planar Scalable Antennas And Pec Bodies Using Cbfm 

      Koc, Sema Nur; Koksal, Adnan (Tubitak Scientific & Technical Research Council Turkey, 2016)
      In this paper, scattering and radiation from scalable planar bodies are investigated in a wide frequency band. Characteristic basis functions (CBFs) are utilized for this purpose with a different approach. The CBFs for the ...