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Recent Submissions

  • Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation 

    Dalva, Doğan; Güz, Ümit; Gürkan, Hakan (IEEE, 2018)
    The objective of this work is to develop effective multi-view semi-supervised machine learning strategies for sentence boundary classification problem when only small sets of sentence boundary labeled data are available. ...
  • Pre- and post-fire comparison of forest areas in 3D 

    Akça, Mehmet Devrim; Stylianidis, Efstratios; Poli, Daniela; Gruen, Armin W.; Altan, Orhan; Hofer, Martin; Smagas, Konstantinos; Martin, Victor Sanchez; Walli, Andreas; Jimeno, Elisa; Garcia, Alejandro (Springer Berlin Heidelberg, 2019)
    A satellite processing platform for high resolution forest assessment (FORSAT) was developed. It generates the digital surface models (DSMs) of the forest canopy by advanced processing of the very-high resolution (VHR) ...
  • Effects of turn-milling conditions on chip formation and surface finish 

    Rahimzadeh Berenji, Kaveh; Karagüzel, Umut; Özlü, Emre; Budak, Erhan (Elsevier USA, 2019-04-24)
    Turn-milling operations performed on mill-turn machines offer significant advantages provided that appropriate conditions are used. Compared to conventional machining processes, kinematics and geometry of turn-milling are ...
  • FORSAT: a 3D forest monitoring system for cover mapping and volumetric 3D change detection* 

    Stylianidis, Efstratios; Akça, Devrim; Poli, Daniela; Hofer, Martin; Gruen, Armin W.; Sánchez Martín, Víctor; Smagas, Konstantinos; Walli, Andreas; Altan, Orhan; Jimeno, Elisa; Garcia, Alejandro (Taylor and Francis Ltd., 2019-03-01)
    A 3D forest monitoring system, called FORSAT (a satellite very high resolution image processing platform for forest assessment), was developed for the extraction of 3D geometric forest information from very high resolution ...
  • Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks 

    Gezer, Murat; Gargari, Sepideh Nahavandi; Güz, Ümit; Gürkan, Hakan (Springer London, 2019-03-15)
    In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...
  • An accurate CMOS interface small capacitance variation sensing circuit for capacitive sensor applications 

    Momen, Hadi Ghasemzadeh; Yazgı, Metin; Köprü, Ramazan; Naderi Saatlo, Ali (Springer Birkhauser, 2017-12)
    In this paper, an accurate front-end CMOS interface circuit for sensing very small capacitance changes in capacitive sensors is presented. The proposed structure scales capacitance variation to the sensible impedance ...
  • Cyclic behavior of reinforced concrete cladding panels connected with energy dissipative steel cushions 

    Karadoǧan, Faruk; Yüksel, Ercan; Khajehdehi, Arastoo; Özkaynak, Hasan; Güllü, Ahmet; Şenol, Erkan (Elsevier Ltd, 2019-06-15)
    Precast concrete structures show damage after the destructive earthquakes and indicate that the connections of reinforced concrete (RC) cladding panels might be inadequate. RC cladding panels greatly increase the lateral ...
  • Statistical analysis of bus transportation networks of Istanbul 

    Çoban, Veysel; Atan, Tankut (World Scientific Publishing Co. Pte Ltd, 2016)
    Transportation networks such as railway, airport and bus networks are the real-world networks whose inherent statistical properties characterize and differentiate the networks. In order to understand the network characteristics ...
  • Energy and data cooperation in energy harvesting multiple access channel 

    Gürakan, Berk; Şişman, Berrak; Kaya, Onur; Ulukuş, Sennur (IEEE, 2016)
    We consider the energy harvesting two user Gaussian multiple access channel (MAC), where both users harvest energy from nature. The users cooperate at the physical layer (data cooperation) by establishing common messages ...
  • Design of a derotator for the 4 in DAG telescope 

    Baudet, Jeremie; Jolissaint, Laurent; Keskin, Onur; Yeşilyaprak, Cahit; Yerli, Sinan Kaan (SPIE-Int Soc Optical Engineering, 2016)
    This paper Silt our work on the design of a field derotator for the adaptive optics instruments platform of DAG (Dogu Anadolu Cozier vi), a new 4 in telescope for astronomical observations near the city of krzurum, l'urkey. ...
  • 0.8-1.9 GHz mikrodalga kuvvetlendirici tasarımı 

    Koç, Onur; Kılınç, Sedat; Köprü, Ramazan; Binboğa Yarman, Bekir Sıddık (IEEE, 2016)
    Nowadays design of communication instruments that use for communication show a great improvement and change. Communication instruments consist of many systems. At this study, microwave amplifier design that has a great ...
  • SRFT ile frekans transformasyonunu kullanarak band geçiren filtre prototipi üzerinden çokluband filtre tasarımı 

    Yıldız, Serkan; Aksen, Ahmet; Binboğa Yarman, Bekir Sıddık (IEEE, 2016)
    Multiband filter design problem includes both analytical and implementation aspects. The main interest is defining a Transducer Power Gain (TPG) function characteristic over frequency bands. It is demanded to suppress or ...
  • Delay tolerant cooperation in the energy harvesting multiple access channel 

    Kaya, Onur; Koca, Mutlu; Su, Nuğman; Ulukuş, Sennur (IEEE, 2016)
    We consider the optimum transmit scheduling problem for a two user energy harvesting cooperative multiple access channel. We assume a slotted model where energy harvests in each slot are known a priori. We propose a delay ...
  • Eastern Anatolia Observatory (DAG): Recent developments and a prospective observing site for robotic telescopes 

    Yeşilyaprak, Cahit; Yerli, Sinan Kaan; Keskin, Onur (Universidad Nacional Autonoma Mexico Instituto Astronomia, 2016)
    This document (Eastern Anatolia Observatory (DAG) is the new observatory of Turkey with the optical and near-infrared largest telescope (4 m class) and its robust observing site infrastructure. This national project consists ...
  • Mechanical and thermal modeling of orthogonal turn-milling operation 

    Karagüzel, Umut; Bakkal, Mustafa; Budak, Erhan (Elsevier Science Bv, 2017)
    Turn-milling is a relatively new machining technology which is performed for cutting of symmetrical or non-symmetrical rotational parts. To improve productivity, determination of cutting parameters in turn-milling is ...
  • Sadece kaynak kod kullanarak otomatik yorum oluşturma 

    Yıldız, Eren; Ekin, Emine (IEEE, 2017)
    In this study, automatic comment generation for Java methods is described. It is sufficient that the codes conform to the syntax rules of the Java programming language, and it is not expected to be runnable. In order to ...
  • Enerji depolama kayıpları altında enerji hasat eden işbirlikli çoklu erişim 

    Kaya, Onur; Koca, Mutlu; Su, Nuğman (IEEE, 2017)
    For a two-user cooperative multiple access channel with energy harvesting transmitters, we formulate and solve the achievable departure region maximization problem under finite battery capacities and energy storage losses. ...
  • Vikipedi ve Vikisözlük'ten Hypernym çıkarma 

    Şaşmaz, Emre; Ehsani, Razieh; Yıldız, Olcay Taner (IEEE, 2017)
    Large scale dictionaries such as wordnets are one of the important structures used in natural language processing. Wordnet is a comprehensive dictionary containing semantic relations including synonyms, antonyms, etc. In ...
  • Kural bazlı otomatik haber etiketleme 

    Özenç, Berke; Solak, Ercan (IEEE, 2017)
    In this study, a rule based application that collects news from public network sources and automatically tags these news gathered has been implemented. The sub-goal of the study is to measure which features are more ...
  • Odaklanan nöron 

    Çam, İlker; Tek, Faik Boray (IEEE, 2017)
    The traditional neural network topology is not flexible to change during the training process. Every neuron and it's independent weights in the network are part of the solution function. The proposed focusing neuron model ...

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