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Browsing Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu by Title

Browsing Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu by Title

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  • Parallel WaveCluster: A linear scaling parallel clustering algorithm implementation with application to very large datasets 
    Yıldırım, Ahmet Artu; Özdoğan, Cem (Academic Press Inc Elsevier Science, 2011-07)
    A linear scaling parallel clustering algorithm implementation and its application to very large datasets for cluster analysis is reported. WaveCluster is a novel clustering approach based on wavelet transforms. Despite ...
  • Parallel wavelet-based clustering algorithm on GPUs using CUDA 
    Yıldırım, Ahmet Artu; Özdoğan, Cem (Elsevier Science, 2011)
    There has been a substantial interest in scientific and engineering computing community to speed up the CPU-intensive tasks on graphical processing units (GPUs) with the development of many-core GPUs as having very large ...
  • Parallelization of a molecular dynamics simulation of an ion-surface collision 
    Atış, Murat; Özdoğan, Cem; Güvenç, Ziya B. (World Scientific Publ CO PTE LTD, 2005-06)
    Parallel molecular dynamics simulation study of the ion-surface collision system is reported. A sequential molecular dynamics simulation program is converted into a parallel code utilizing the concept of parallel virtual ...
  • Parallelization of sparsity-driven change detection method 
    Özgür, Atilla; Saran, Ayşe Nurdan; Nar, Fatih (IEEE, 2017)
    In this study, Sparsity-driven Change Detection (SDCD) method, which has been proposed for detecting changes in multitemporal synthetic aperture radar (SAR) images, is parallelized to reduce the execution time. Parallelization ...
  • Partially coherent Airy beam and its propagation in turbulent media 
    Eyyuboğlu, Halil T.; Sermutlu, Emre (Springer, 2013-03)
    The properties of partially coherent Airy beam propagating in turbulent media are investigated. Firstly the variations in the intensity profile and the location of the Airy beam peak with respect to dislocation and width ...
  • Patient Safety & Clinical Decision Support Systems (CDSS): A Case Study in Turkey 
    Menekşe, Gonca Gökçe; Çağıltay, Nergiz Ercil; Tokdemir, Gül (IEEE, 2015)
    Decision making process is crucial in several stages of clinical procedures. On the other hand, there are not many studies showing the implications of decision support systems in clinical environments. Hence, adaptation ...
  • Perceptions, Expectations and Implementations of Big Data in Public Sector 
    Doğdu, Erdoğan; Özbayoğlu, Murat; Yazıcı, Ali; Karakaya, Ziya (IEEE, 2018)
    Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in ...
  • Perceptions, Expectations and Implementations of Big Data in Public Sector 
    Doğdu, Erdoğan; Özbayoğlu, Murat; Yazıcı, Ali; Karakaya, Ziya (2018)
    Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted ...
  • Performance of adhesively-bonded joints of laminated composite materials under different loading modes 
    Kadıoğlu, Ferhat; Demiral, Murat; Avil, Esma; Ercan, M. Emin; Aydoğan, Tuncay (2018)
    The aim of this work is to investigate quasi-static performance of adhesively-bonded joints with adherends manufactured from a laminated composite material under tensile and bending loading modes. For this purpose, a film ...
  • Performing and analyzing non-formal inspections of entity relationship diagram (ERD) 
    Çağıltay, Nergiz Ercil; Tokdemir, Gül; Kılıç, Özkan; Topallı, Damla (Elsevier Science BV, 2013-08)
    Designing and understanding of diagrammatic representations is a critical issue for the success of software projects because diagrams in this field provide a collection of related information with various perceptual signs ...
  • Perlin random erasing for data augmentation 
    Saran, Murat; Nar, Fatih; Saran, Ayse Nurdan (2021-06-09)
    In the last decade, Deep Learning is applied in a wide range of problems with tremendous success. Large data, increased computational resources, and theoretical improvements are main reasons for this success. As the dataset ...
  • Petrol flow pattern identification via data mining techniques 
    Ölçer, Naim; Elbasi, Ersin (2012-12)
    Nowadays, petrol is an important resource for whole world, researchers are working on several mathematical models for flow pattern identification. One previous study is to find characterization of reservoir modeling in ...
  • Phase changes in icosahedral 54-, 55-, 56-atom platinum clusters 
    Sebetçi, Ali; Güvenç, Ziya Burhanettin; Kökten, Hatice (2004-09)
    Using the Voter and Chen version of an embedded-atom model, derived by fitting simultaneously to experimental data both the diatomic molecule and bulk platinum, we have studied the melting behavior of free, icosahedral, ...
  • Phishing e-mail detection by using deep learning algorithms 
    Hassanpour, Reza; Doğdu, Erdoğan; Choupani, Roya; Göker, Onur (2018)
    Phishing e-mails are considered as spam e-mails, which aim to collect sensitive personal information about the users via network. Since the main purpose of this behavior is mostly to harm users financially, it is vital ...
  • Pixel-based level of detail on hardware tessellated terrain rendering 
    Özek, Mehmet Ömer; Demir, Engin (2017)
    As the GPU's processing power has been improving much faster than the CPU's. the terrain rendering algorithms have evolved to use the graphics hardware as much as possible. One of the recently developed GPU-based Level of ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Problems of Gaining Neuronavigation Skills on Surgical Education Programs: A case study in Turkey 
    Cağıltay, Nergiz Ercil; Borcek, Alp Özgün; Tokdemir, Gül; Maraş, Hadi Hakan; Topallı, Damla (2016)
    Neuronavigation technology is one of the important technologies that supports and guides the surgeons during the surgical procedures. Availability of this technology for the surgical education programs to gain the skills ...
  • Production and retrieval off rough classes in multi relations 
    Tolun, Mehmet R.; Sever, Hayri; Görür, Abdül Kadir (IEEE Computer Soc, 2007)
    Organizational memory in today's business world forms basis for organizational learning, which is the ability of an organization to gain insight and understanding from experience through experimentation, observation, ...