DSpace@Çankaya

Başlık için listeleme

Başlık için listeleme

Sırala: Sıra: Sonuçlar:

  • Power Aware Routing Protocols in Wireless Sensor Network 
    Alsultan, Mohammed; Öztoprak, Kasım; Hassanpour, Reza (IEICE, 2016-07)
    Wireless Sensor Networks (WSNs) have gained importance with a rapid growth in their applications during the past decades. There has also been a rise in the need for energy-efficient and scalable routing along with the data ...
  • Power consumption of novel throughput improvement methods 
    Preveze, Barbaros; Şafak, Aysel (2010)
    The novel proposed method as a combination of Time Division Multiple Access (TDMA) and Orthogonal Frequency Division Multiple Access (OFDMA) called Orthogonal Frequency Division Most Congested Access First (OFDMCAF) provides ...
  • Power Electronic Converters in DC Microgrid 
    İskender, İres; Genç, Naci (2019-07-31)
    There are not many sustainable sources of energy other than renewable energy sources (RES), which are called solar, wind, water and various forms of biomass. The most effective way to increase the use of renewable energy ...
  • Power Politics in International Affairs 
    Akşemsettinoğlu, Gökhan (2022-10)
  • Power scintillation for super lorentz gaussian beam evaluation using the random phase screen method 
    Al-Grairi, Hussein Thary Khamees (2018-04-05)
    Bu tezde, Süper Lorentz Gauss (SLG) ışık hüzmelerinin belirli bir alıcı açıklık yarıçapı için ortalama optik güç pırıldama indeksi incelenmiştir. Orta dereceli türbülanslı ve zayıf dereceli türbülanslı atmosferde SLG ışık ...
  • Power Series Transform in Cryptology and ASCII 
    Gencoglu, Muharrem Tuncay; Baleanu, Dumitru (2019)
  • PPP hypothesis and temporary structural breaks 
    Çorakçı, Ayşegül; Emirmahmutoğlu, Furkan; Omay, Tolga (Economics Bulletin, 2017)
    In this study our aim is to explore a better testing strategy for the PPP hypothesis under a temporary structural break. For this purpose we use the exponential smooth transition (EST) function in the unit root testing ...
  • Prabhakar Fractional Derivative And Its Applications In The Transport Phenomena Containing Nanoparticles 
    Asjad, Muhammad Imran; Zahid, Muhammad; Chu, Yu-Ming; Baleanu, Dumitru (2021)
    In this paper, a new approach of analytical solutions is carried out on the thermal transport phenomena of Brinkman fluid based on Prabhakar's fractional derivative with generalized Fourier's law. The governing equations ...
  • Pre-distortion design for non-linear power amplifiers 
    Turan, Yusuf Berk (2019)
    Güç yükselteçleri, özellikle uzak mesafeli iletişim sistemlerinde, kendisine gelen sinyalden yüksek güç elde etmek için kullanılır. Gelen sinyal, güç yükselteci çıkışında doğrusal olmayan bir hale gelebilir ve bozulmaya ...
  • Pre-positioning of relief items in humanitarian logistics considering lateral transhipment opportunities 
    Başkaya, Serhat; Ertem, Mustafa Alp; Duran, Serhan (Elsevier Science Inc., 2017-03)
    The main objective of this study is to investigate the inclusion of lateral transhipment opportunities into the humanitarian relief chain and to examine the effect of different parameters on minimizing the average distance ...
  • Predicting Financial Failure Of The Turkish Banks 
    Doganay, M. Mete; Ceylan, Nildag Basak; Aktas, Ramazan (2006-06)
    Banks are the most important financial institutions in Turkey because other financial institutions are not developed efficiently yet. Turkish banks experienced financial difficulties and a substantial amount of banks failed ...
  • Predicting flight delays with artificial neural networks: case study of an airport 
    Demir, Engin; Demir, Vahap Burhan (IEEE, 2017)
    Air transportation has an important place among transportation systems and it is indispensable for the flights to perform their voyages in scheduled time in order to ensure the comfort of passengers and controllability of ...
  • Predicting house prices in Ankara using machine learning 
    Ersoy, Cihan (2023)
    Geleneksel gayrimenkul değerleme süreci, bir değerleme uzmanının gayrimenkulü görmesi ve evin sahip olduğu değerlere göre içerisinde ev fiyatının da bulunduğu bir rapor oluşturması üzerine kuruludur. Ancak, bu yöntem zaman ...
  • Predicting seismic damage on concrete gravity dams: a review 
    Arıcı, Yalın; Soysal, Berat Feyza (2022-10)
    The seismic assessment of concrete gravity dams is a problem of prediction of cracking and the corresponding consequences. With the widespread use of general-purpose finite element programs, the work in the field has shifted ...
  • Predicting the Bond Ratings of S&P 500 Firms 
    Doğanay, M. Mete; Körs, Murat; Akta, Ramazan (2012-10)
    In this paper, we have developed models to find out as to what factors are important in determining the bond ratings of the non-financial firms which are included in S&P 500 index. Our analysis is different from other ...
  • Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm 
    Deniz, Ayça; Kızılöz, Hakan Ezgi; Sevinç, Ender; Dökeroğlu, Tansel (2022-06)
    The COVID-19 pandemic has huge effects on the global community and an extreme burden on health systems. There are more than 185 million confirmed cases and 4 million deaths as of July 2021. Besides, the exponential rise ...
  • Prediction of bank financial strength ratings: the case of Turkey 
    Öğüt, Hulusi; Doğanay, M. Mete; Ceylan, Nildağ Başak; Aktaş, Ramazan (Elsevier Science BV, 2012-05)
    Bank financial strength ratings have gained widespread popularity especially after the recent financial turmoil. Rating agencies were criticized because of their ratings and failure to predict the bankruptcy of the banks. ...
  • Prediction of financial information manipulation by using support vector machine and probabilistic neural network 
    Öğüt, Hulusi; Aktaş, Ramazan; Alp, Ali; Doğanay, M. Mete (Pergamon-Elsevier Science LTD, 2009-04)
    Different methods have been used to predict financial information manipulation that can be defined as the distortion of the information in the financial statements. The purpose of this paper is to predict financial information ...
  • Prediction of Nusselt Number of Rectangular Fins Using Artificial Neural Network Model 
    Aylı İnce, Ülkü Ece (2019)
    In the passive heat transfer enhancement methods, there are several parameters which need to be optimized to maximize the heat transfer coefficient and Nusselt number while minimizing the pressure drop. For this purpose, ...
  • Prediction Of Similarities Among Rheumatic Diseases 
    Yıldırım, Pınar; Çeken, Çınar; Hassanpour, Reza; Tolun, Mehmet R. (Springer, 2012-06)
    We introduce a method for extracting hidden patterns seen in rheumatic diseases by using articles from the widely used biomedical database MEDLINE. Rheumatic diseases affect hundreds of millions of people worldwide and ...