Browsing Computer Science by Author "Özyeğin University"
Now showing items 521-540 of 546
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Using convolutional neural networks to automate aircraft maintenance visual inspection
Doğru, Anıl; Bouarfa, S.; Arizar, R.; Aydoğan, Reyhan (MDPI, 2020-12)Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant ... -
Using different loss functions with YOLACT++ for real-time instance segmentation
Köleş, Selin; Karakaş, Selami; Ndigande, Alain Patrick; Özer, Sedat (IEEE, 2023)In this paper, we study and analyze the performance of various loss functions on a recently proposed real-time instance segmentation algorithm, YOLACT++. In particular, we study the loss functions, including Huber Loss, ... -
Using eigenvoices and nearest-neighbors in HMM-based cross-lingual speaker adaptation with limited data
Sarfjoo, Seyyed Saeed; Demiroğlu, Cenk; King, S. (IEEE, 2017-04)Cross-lingual speaker adaptation for speech synthesis has many applications, such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis systems using ... -
Using high-level synthesis for rapid design of video processing pipes
Güzel, Aydin Emre; Levent, Vecdi Emre; Tosun, Mustafa; Özkan, M. Akif; Akgun, T.; Büyükaydın, D.; Erbas, C.; Uğurdağ, Hasan Fatih (IEEE, 2016)In this work, we share our experience in using High-Level Synthesis (HLS) for rapid development of an optical flow design on FPGA. We have performed HLS using Vivado HLS as well as a HLS tool we have developed for the ... -
Using hypergraph clustering for software architecture reconstruction of data-tier software
Ersoy, E.; Kaya, K.; Altınışık, M.; Sözer, Hasan (Springer International Publishing, 2016)Software architecture reconstruction techniques aim at recovering software architecture documentation regarding a software system. These techniques mainly analyze coupling/dependencies among the software modules to group ... -
Utilizing clone detection for domain analysis of simulation systems
Astekin, M.; Sözer, Hasan (IEEE, 2012)This paper presents a case study on utilizing a clone detection technique for deriving commonalities among four different industrial simulation software systems. We have examined cloning both within each system and across ... -
Üniversite dış mekânları i̇çin zaman-mekânsal haritalama yöntemine dayanan bir kullanım sonrası değerlendirme modeli
Göçer, Ö.; Göçer, K.; Başol, Altuğ Melik; Kıraç, Mustafa Furkan; Torun, A. O.; Bakovic, M.; Siddiqui, F. P.; Özcan, Barış (Yildiz Technical University Faculty Of Architecture, 2020)Üniversite yerleşkeleri yalnızca çeşitli sosyal ve eğitsel binalardan oluşmakla kalmaz, dış mekânları ve donatıları, rekreasyon ve peyzaj alanları ile bütünleşik bir kurgu oluştururlar. Dış mekânlar, yerleşke kullanıcılarının ... -
Variability viewpoint for introducing variability in software architecture viewpoints
Tekinerdogan, B.; Sözer, Hasan (ACM, 2012)Variability is the ability of a software system to be changed for a specific context, in a preplanned manner. As such, to facilitate the instantiation of a software architecture the variability concern needs to be explicitly ... -
Variational bayesian multiple instance learning with gaussian processes
Haussmann, M.; Hamprecht, F. A.; Kandemir, Melih (IEEE, 2017)Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes. ... -
Variational closed-Form deep neural net inference
Kandemir, Melih (Elsevier, 2018-09)We introduce a Bayesian construction for deep neural networks that is amenable to mean field variational inference that operates solely by closed-form update rules. Hence, it does not require any learning rate to be manually ... -
Verification and analysis of domain-specific models of physical characteristics in embedded control software
Roo, A. de; Sözer, Hasan; Akşit, M. (Elsevier, 2012-12)ContextA considerable portion of the software systems today are adopted in the embedded control domain. Embedded control software deals with controlling a physical system, and as such models of physical characteristics ... -
Vibrational spectra, force constants and quantum chemical calculations of μ-1,3-azide bridged triphenylphosphine complexes of copper(I) and silver(I)
Güven, Gökçe; Topçu, A.; Somer, M.; Afyon, S.; Yılmaz, A.; Bölükbaşı, O. (Elsevier, 2022-03)The dimeric title compounds [(C6H5)3P]Cu2(N3)2 and [C6H5)3P]Ag2(N3)2 were synthesized and characterized by FT-Raman and IR spectroscopy. The two phases were not isotypic but possessed approximately the same molecular ... -
VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
Chen, G.; Wang, W.; He, Z.; Wang, L.; Yuan, Y.; Zhang, D.; Zhang, J.; Zhu, P.; Gool, L. V.; Han, J.; Hoi, S.; Hu, Q.; Liu, M.; Sciarrone, A.; Sun, C.; Garibotto, C.; Tran, D. N. N.; Lavagetto, F.; Haleem, H.; Motorcu, Hakkı; Ateş, H. F.; Jeon, H. J.; Bisio, I.; Jeon, J. W.; Li, J.; Pham, J. H.; Jeon, M.; Feng, Q.; Li, S.; Tran, T. H. P.; Pan, X.; Song, Y. M.; Yao, Y.; Du, Y.; Xu, Z.; Luo, Z. (IEEE, 2021)Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It ... -
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
Kıraç, Mustafa Furkan; Aktemur, Tankut Barış; Sözer, Hasan (The ACM Digital Library, 2018-02)A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ... -
Vurgu ve söyleyiş modelleme hatalarının SMM tabanlı Türkçe MKS sistemindeki etkileri
Güner, Ekrem; Demiroğlu, Cenk (IEEE, 2011)SMM tabanlı metinden konuşma sentezleme (SMM-MKS) yöntemi, gün geçtikçe daha 1 fazla araştırmacısının ilgisini çekmektedir. Bu yöntemin en önemli avantajlarından biri, birim seçmeli sistemlerde görülen bozulma etkilerinin ... -
Want to play DASH?: a game theoretic approach for adaptive streaming over HTTP
Bentaleb, A.; Beğen, Ali Cengiz; Harous, S.; Zimmermann, R. (Association for Computing Machinery, Inc, 2018-06-12)In streaming media, it is imperative to deliver a good viewer experience to preserve customer loyalty. Prior research has shown that this is rather difficult when shared Internet resources struggle to meet the demand from ... -
Web uygulamaları için model bazlı test süreci otomasyonu
Özkan, Uğur; Sözer, Hasan (CEUR, 2015)Yazılım sistemlerinin boyutları ve karmaşıklıkları arttıkça, bu sistemlerin test edilmesi daha maliyetli olmaktadır. Maliyeti düşürmek ve verimliliği artırmak için model bazlı test teknikleri geliştirilmiştir. Bu teknikler ... -
Weight update skipping: Reducing training time for artificial neural networks
Safayenikoo, P.; Aktürk, İsmail (IEEE, 2021-12)Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as recognition, classification, and segmentation. ... -
Welcome from the general chairs
Uğurdağ, Hasan Fatih; Silveira, L. M. (IEEE, 2013) -
When SDN and blockchain shake hands
Latah, Majd; Çakmakçı, Kübra Kalkan (Wiley, 2022-09)A survey of recent efforts to combine SDN and BC shows promising results and points to directions for future research.
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