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Browsing Bilgisayar Mühendisliği Bölümü by Title

Browsing Bilgisayar Mühendisliği Bölümü by Title

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  • Onus, Melih; Richa, Andrea W. (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2016)
    Publish/subscribe communication systems where nodes subscribe to many different topics of interest are becoming increasingly more common. Designing overlay networks that connect the nodes subscribed to each distinct topic ...
  • Cipioglu Yildiz, Zeynep; Çapın, Tolga Kurtuluş (SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2017)
    A measure for assessing the quality of a 3D mesh is necessary in order to determine whether an operation on the mesh, such as watermarking or compression, affects the perceived quality. The studies on this field are limited ...
  • Güleç, Ulaş; Clarke, Paul M.; Yılmaz, Murat; O’Farrell, Emer (Springer Science and Business Media Deutschland GmbH, 2021-09-01)
    A common strategy to train software practitioners in agile frameworks is to have employees undertake classroom-based training. However, due to its nature, participants are lectured for a scheduled time-line with little ...
  • Arpa, Sami; Ritschel, Tobias; Myszkowski, Karol; Capin, Tolga; Seidel, Hans-Peter (WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2015)
    Providing multiple meanings in a single piece of art has always been intriguing to both artists and observers. We present Purkinje images, which have different interpretations depending on the luminance adaptation of the ...
  • Pehlivan, Selen; Forsyth, David A. (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2014)
    This paper focuses on activity recognition when multiple views are available. In the literature, this is often performed using two different approaches. In the first one, the systems build a 3D reconstruction and match ...
  • Urgen, Burcu A.; Pehlivan, Selen; Saygin, Ayse P. (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)
    Visual processing of actions is supported by a network of brain regions in occipito-temporal, parietal, and premotor cortex in the primate brain, known as the Action Observation Network (AON). What remain unclear are the ...
  • Dökeroǧlu, Tansel; Pehlivan, Selen; Avenoğlu, Bilgin (2020)
    This study proposes a set of new robust parallel hybrid metaheuristic algorithms based on artificial bee colony (ABC) and teaching learning-based optimization (TLBO) for the multi-dimensional numerical problems. The best ...
  • Gençtav, Aslı; Evans, Emily J.; Guo, Weihong; Tari, Sibel; Domeniconi, Carlotta; Murillo, Anarina L.; Chuang, Julia; AlSumait, Loulwah; Mani, Priya; El-Zehiry, Noha Youssry (Springer Science and Business Media Deutschland GmbH, 2021)
    The interaction of users, either online or in real-life, can be modeled via a network (or graph). In such networks, users engage in activities and take on specific roles. Users who manifest similar structural and connectivity ...
  • Sağdıç, Ahmet; Tekinbaş, C.; Arslan, E.; Küçükyılmaz, T. (Institute of Electrical and Electronics Engineers Inc., 2020-09-28)
    Memory-based classification techniques are commonly used for modeling recommendation problems. They rely on the intuition that similar users and/or items behave similarly, facilitating user-to-item, item-to-item, or ...
  • Gençtav, Aslı; Arslan, Mazlum Ferhat; Haridis, Alexandros; Rosin, Paul L.; Tari, Sibel; Brassey, Charlotte A.; Gardiner, James D.; Gençtav, Murat (Elsevier Ltd, 2022-02)
    This paper presents the results of SHREC'21 track: Quantifying Shape Complexity. Our goal is to investigate how good the submitted shape complexity measures are (i.e. with respect to ground truth) and investigate the ...
  • Cimen, Goekcen; Kavafoglu, Zumra; Kavafoglu, Ersan; Capin, Tolga; Gurcay, Hasmet (WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2015)
    Learned biomechanical strategies prepare the human body in kinematics and kinetics terms during interception tasks, such as throwing and catching, in real world. Based on this, we present a real-time physics-based approach ...
  • Yılmaz, Gökçe Nur; Tekgül, Selay (İzmir Katip Çelebi Üniversitesi, 2021-12-30)
    This paper proposes an object detection and blurring system using deep learning especially for the detection of snake images since while some of the people does not care about the appearance of the snake images on the ...
  • Sabuncu, Orkunt; ÅžimÅek, M.C. (CEUR-WS, 2020)
    Assembly line balancing problems aim to assign production tasks to workstations or people while satisfying some constraints and optimizing various criteria such as production rate or number of workstations needed. One ...
  • Mengusoglu, Erhan (UNIV OSIJEK, TECH FAC, TRG IVANE BRLIC-MAZURANIC 2, SLAVONSKI BROD, HR-35000, CROATIA, 2015)
    Confidence measures are expected to give a measure of reliability on the result of a speech/speaker recognition system. Most commonly used confidence measures are based on posterior word or phoneme probabilities which can ...
  • Kavafoglu, Zumra; Kavafoglu, Ersan; Cimen, Gokcen; Capin, Tolga; Gurcay, Hasmet (SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA, 2018)
    We present a control approach for synthesizing physics-based walking motions that mimic the style of a given reference walking motion. Style transfer between the reference motion and its physically simulated counterpart ...
  • Dökeroǧlu, Tansel; Sevinç, Ender; Küçükyılmaz, Tayfun; Coşar, Ahmet (Elsevier Ltd., 2019)
    Metaheuristics are an impressive area of research with extremely important improvements in the solution of intractable optimization problems. Major advances have been made since the first metaheuristic was proposed and ...
  • Choupani, Roya; Wong, Stephan; Tolun, Mehmet (IS&T & SPIE, 1000 20TH ST, BELLINGHAM, WA 98225 USA, 2012)
    Scalable video coding and multiple description coding are the two different adaptation schemes for video transmission over heterogeneous and best-effort networks such as the Internet. We propose a new method to encode video ...
  • Karataş, A.S.; Doǧru, A.H.; Oǧuztüzün, H.; Tolun, M. (2011)
    Since their introduction feature models have been widely accepted and used in Software Product Lines. However, feature models may become too large easily, which complicates the management of the model. One of the reasons ...

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