Now showing items 36-55 of 88

    • Decrease of event related theta coherence at left frontal-parietal connection in Alzheimer patients 

      Başar, Erol; Güntekin, Bahar; Yener, Görsev G.; Saatçı, Ertuğrul (Elsevier Science Inc, 360 Park Ave South, New York, Ny 10010-1710 USA, 2008-04-01)
    • Decreased Evoked Right Fronto-Temporal Gamma Coherence in Acute Mania Improves After Valproate Monotherapy 

      Özerdem, Ayşegül; Güntekin, Bahar; Saatçı, Ertuğrul; Başar, Erol (Elsevier Science Inc, 360 Park Ave South, New York, Ny 10010-1710 USA, 2009-04-15)
    • Deep Learning Approaches for Predictive Masquerade Detection 

      Elmasry, Wisam; Akbulut, Akhan; Zaim, Abdül Halim (Wiley-Hindawi, Adam House, 3rd Fl, 1 Fitzroy Sq, London, Wit 5He, England, 2018)
      In computer security, masquerade detection is a special type of intrusion detection problem. Effective and early intrusion detection is a crucial factor for computer security. Although considerable work has been focused ...
    • Determination of ECoG Information Flow Activity Based on Granger Causality and Hilbert Transformation 

      Demirer, Rüştü Murat; Özerdem, Mehmet Sıraç; Bayrak, Coşkun; Mendi, Şekip Engin (Elsevier Ireland Ltd, Elsevıer House, Brookvale Plaza, East Park Shannon, Co, Clare, 00000, Ireland, 2013-12)
      Analysis of directional information flow patterns among different regions of the brain is important for investigating the relation between ECoG (electrocorticographic) and mental activity. The objective is to study and ...
    • Directional total variation based image deconvolution with unknown boundaries 

      Demircan Türeyen, Ezgi; Kamaşak, Mustafa Erşel (Springer International Publishing Ag, Gewerbestrasse 11, Cham, Ch-6330, Switzerland, 2017)
      Like many other imaging inverse problems, image deconvolution suffers from ill-posedness and needs for an adequate regularization. Total variation (TV) is an effective regularizer; hence, frequently used in such problems. ...
    • Discussions On Suitable Modulation Schemes for a Bi-directional Hot Electron Light Emitter and Absorber 

      Wah, JY; Yenidünya, R; Boland-Thoms, A; Demirer, R. Murat; Balkan, N (IEE-INST ELEC ENG, MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND, 2002-10)
      The hot electron light emitting and lasing semiconductor heterojunction (HELLISH) device is a novel emitter that utilises hot electron/hole transport parallel to the layers of an AlxGa1-xAs p-n junction containing GaAs ...
    • Effective 3-D surface modeling for geographic information systems 

      Yüksek, Kemal; Alparslan, M.; Mendi, Engin (Copernicus Gesellschaft Mbh, Bahnhofsallee 1E, Gottingen, 37081, Germany, 2016)
      In this work, we propose a dynamic, flexible and interactive urban digital terrain platform with spatial data and query processing capabilities of geographic information systems, multimedia database functionality and ...
    • Empirical study on multiclass classification-based network intrusion detection 

      Elmasry, Wisam; Akbulut, Akhan ; Zaim, Abdul Halim (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2019-11)
      Early and effective network intrusion detection is deemed to be a critical basis for cybersecurity domain. In the past decade, although a significant amount of work has focused on network intrusion detection, it is still ...
    • Evaluation of augmented reality technology for the design of an evacuation training game 

      Çatal, Çağatay; Akbulut, Akhan ; tunalı, berkay; Uluğ, Erol; Öztürk, Eren (SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND, 2019-11)
      Building evacuation training systems and training employees in an organization have a vital role in emergency cases in which people need to know what to do exactly. In every building, procedures, rules, and actions are ...
    • Evoked coherence in Alzheimer disease 

      Güntekin, Bahar; Saatçı, Ertuğrul; Yener, Görsev G.; Başar, Erol (Elsevier Science Bv, Po Box 211, 1000 AE Amsterdam, Netherlands, 2008-09)
    • Experiments with New Stochastic Global Optimization Search Techniques 

      In this paper several probabilistic search techniques are developed for global optimization under three heuristic classifications: simulated annealing, clustering methods and adaptive partitioning algorithms. The algorithms ...
    • Exploring feature sets for Turkish word sense disambiguation 

      İlgen, Bahar; Adalı, Eşref; Tantuğ, Ahmet Cüneyd (TUBİTAK Scientific & Technical Research Council Turkey, Ataturk Bulvarı No 221, Kavaklıdere, Ankara, 00000, Turkey, 2016)
      This paper presents an exploration and evaluation of a diverse set of features that influence word-sense disambiguation (WSD) performance. WSD has the potential to improve many natural language processing (NLP) tasks as ...
    • 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 ...
    • 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 

      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) ...