Now showing items 83-102 of 143

    • Face Detection & Recognition for Automatic Attendence System 

      İlgen, Bahar; Sanli, Onur (2018)
      Human face recognition is an important part of biometric verification. The methods for utilizing physical properties, such as human face have seen a great change since the emergence of image processing techniques. Human ...
    • Fetal health status prediction based on maternal clinical history using machine learning techniques 

      Akbulut, Akhan; Ertuğrul, Egemen (Elsevier Ireland Ltd, Elsevier House, Brookvale Plaza, East Park Shannon, Co, Clare, 00000, Ireland, 2018)
      Background and Objective: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultra-sonographical ...
    • Flower Classification with Deep CNN and Machine Learning Algorithms 

      Mete, Büşra Rümeysa; Ensari, Tolga (2019-09-11)
      Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
    • Food Intake Monitoring System for Mobile Devices 

      Mendi, Şekip Engin; Özyavuz, Öcal; Pekesen, Emrah; Bayrak, Coşkun (IEEE, 345 E 47Th St, New York, Ny 10017 Usa, 2013)
      In this paper, we introduce a real-time food intake monitoring system for mobile devices. The proposed system gets acceleration data from the sensor placed on the wrist of the user during a meal. The data is then sent to ...
    • FRACTOP: A Geometric Partitioning Metaheuristic for Global Optimization 

      Demirhan, M; Özdamar, Linet; Helvacıoğlu, L; Birbil, SI (KLUWER ACADEMIC PUBL, SPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS, 1999-06)
      We propose a new metaheuristic, FRACTOP, for global optimization. FRACTOP is based on the geometric partitioning of the feasible region so that search metaheuristics such as Simulated Annealing (SA), or Genetic Algorithms ...
    • Fuzzy clustering neural networks for real-time odor recognition system 

      Karlık, Bekir; Yüksek, Kemal (Hindawi Publishing Corp, 315 Madison Ave 3Rd Flr, Ste 3070, New York, Ny 10017 USA, 2007)
      The aim of this study is to develop a novel fuzzy clustering neural network (FCNN) algorithm as pattern classifiers for real-time odor recognition system. In this type of FCNN, the input neurons activations are derived ...
    • Hybrid Heuristics for the Multi-stage Capacitated Lot Sizing and Loading Problem 

      Linet, Özdamar (STOCKTON PRESS, HOUNDMILLS, BASINGSTOKE RG21 6XS, HAMPSHIRE, ENGLAND, 1999-08)
      The multi-stage capacitated lot sizing and loading problem (MCLSLP) deals with the issue of determining the lot sizes of product items in serially-arranged manufacturing stages and loading them on parallel facilities in ...
    • Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization 

      Demircan Türeyen, Ezgi; Kamasak, Mustafa E.; Bayram, İlker (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2016)
      This paper considers reconstruction of missing pixels and formulates the problem under directional total variation (DTV) regularization. In order to devise an algorithm, forward-backward splitting method is used as a convex ...
    • Improvement of demand forecasting models with special days 

      Çatal, Çağatay; Fenerci, Ayşe; Özdemir, Burçak; Gülmez, Onur (Elsevier Science Bv, Sara Burgerhartstraat 25, Po Box 211, 1000 AE Amsterdam, Netherlands, 2015)
      Forecasting ATM cash demands is a challenging research task. When the forecasting results are too high compared to the real demand, this will cause excessive cash at bank's ATMs and the cost of lost interest. On the other ...
    • Interactive Data Mining for Molecular Graphs 

      Yılmaz, Burcu; Göktürk, Mehmet (Hindawi Publishing Corp, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 Usa, 2009)
      Designing new medical drugs for a specific disease requires extensive analysis of many molecules that have an activity for the disease. The main goal of these extensive analyses is to discover substructures (fragments) ...
    • Investigation of Several Parameters on Goldbach Partitions 

      İlgen, Bahar; Özkan, Derya (2011)
    • Investigation of Zipf's 'law-of-meaning' on Turkish corpora 

      İlgen, Bahar; Karaoğlan, Bahar (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
      Zipf's law-of-meaning states that the number of meanings of a word is related to its frequency. Words that are seen more frequently tend to have more meanings than the ones that are seen less frequently. This law, like the ...
    • Linking Image Zones To Database By Using Inverse Voronoi Diagrams: A Novel Liz-Ivd Method 

      Yüksek, Kemal; Cezayirli, Ahmet (Ieee, 345 E 47Th St, New York, Ny 10017 Usa, 2009)
      This study proposes a novel Graphical Method (LIZIVD) as an effective solution to link areas on a raster map to a database containing zone characteristics data. The method involves Inverse Voronoi approach which constructs ...
    • Long-range evoked gamma coherence in acute mania before and after treatment: a sign for disturbed neural network connectivity 

      Özerdem, Ayşegül; Güntekin, Bahar; Ertuğrul Saatçı; Başar, Erol (Wiley-Blackwell Publishing, Inc, Commerce Place, 350 Main St, Malden 02148, Ma USA, 2009-06)
    • Machine Learning Based Phishing Detection from URIs 

      Şahingöz, Özgür Koray; Buber, Ebubekir; Demir, Önder; Diri, Banu (2017-12)
      Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...
    • Mobile Visual Acuity Assessment Application: AcuMob 

      Akbulut, Akhan; Aydın, Muhammed Ali; Abdül Halim Zaim (2017)
      This paper presents a mobile healthcare (mHealth) system for estimation of visual impairment that provides easiness by specifying the degree of an eye as orthoscopes. Our proposed system called AcuMob which is an ...
    • Model Satellite Design for CanSat Competition 

      Bulut, Sultan Nur; Gül, Mahircan; Beker, Can; İpek, İbrahim İlge; Koculu, Ömer Eren; Topaloğlu, Çınar; Dinçer, Nurullah; Kirli, Ahmet; Ertuğrul, Hasan Fatih; Tüfekçi, Celal Sami (IEEE, 345 E 47Th St, New York, Ny 10017 Usa, 2013)
      Objective of this work is to design and manufacture a model satellite named Vecihi that is able to perform some of the basic tasks that artificial satellites perform. The satellite is developed under the rules of CanSat ...
    • More Benefits of Adding Sparse Random Links to Wireless Networks: Yet Another Case for Hybrid Networks 

      Erçal, Güneş (Hindawi Publishing Corporation, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 Usa, 2012)
      We theoretically and experimentally analyze the process of adding sparse random links to random wireless networks modeled as a random geometric graph. While this process has been previously proposed, we are the first to ...
    • Multi-document summarization for Turkish news 

      Demirci, Ferhat; Karabudak, Engin; İlgen, Bahar (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      In this paper, we introduce our multi-document summarization system for Turkish news. The aim of the summarization system is to build a single document for multi document news that have been collected previously. The news ...