Now showing items 70-89 of 139

    • e-Vital: A Wrist-Worn Wearable Sensor Device for Measuring Vital Parameters 

      Patlar Akbulut, Fatma; Özcan, Özgür; Çınar, İpek (2019-10-03)
      In today’s world, connected wearable sensors be­came a delicate part of the imperative daily analysis and assessment to identify the urgency of the state of health. Recent advances in sensor designs and analysis techniques ...
    • 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 ...
    • Estimation of beat-to-beat interval from wearable photoplethysmography sensor on different measurement sites during daily activities 

      Patlar Akbulut, Fatma; Lawless, Kevin; Tanneeru, Akhilesh; Rao, Smriti; Lee, Bongmook; Misra, Veena (2018)
      In this study, we present an algorithm to detect beat-to-beat interval from PPG in the presence of motion artifacts. Our approach includes splitting slowly varying DC components, statistical detrending, and Bessel filtering ...
    • 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 

      Özdamar, Linet; Demirhan, M (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2000-08)
      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 ...
    • Exploring the effect of bag-of-words and bag-of-bigram features on Turkish word sense disambiguation 

      İlgen, Bahar; Adalı, Eşref (2014)
      Feature selection in Word Sense Disambiguation (WSD) is as important as the selection of algorithm to remove sense ambiguity. Bag-of-word (BoW) features comprise the information of neighbors around the ambiguous target ...
    • 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)