Department of Computer Engineering, Article

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Recent Submissions

3D Shape Deformation Using Stick Figures
Seylan, Çağlar; Sahillioğlu, Yusuf (2022-10-01)
Obtaining new poses of an articulated character is a critical task in computer graphics. We address this issue with a new shape deformation approach consisting of two phases enabling the user to express the new pose as a s...
Extracting process hierarchies by multi-sequence alignment adaptations
Esgin, Eren; Karagöz, Pınar (2022-09-01)
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states
Aydın, Hüseyin; Çilden, Erkin; Polat, Faruk (2022-08-01)
Reinforcement learning is known to underperform in large and ambiguous problem domains under partial observability. In such cases, a proper decomposition of the task can improve and accelerate the learning process. Even am...
Does depth estimation help object detection?
Cetinkaya, Bedrettin; Kalkan, Sinan; Akbaş, Emre (2022-06-01)
Ground-truth depth, when combined with color data, helps improve object detection accuracy over baseline models that only use color. However, estimated depth does not always yield improvements. Many factors affect the perf...
Caption Generation on Scenes with Seen and Unseen Object Categories
Demirel, Berkan; Cinbiş, Ramazan Gökberk (2022-06-01)
An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks
Kizilkaya, Burak; Ever, Enver; Yatbaz, Hakan Yekta; Yazıcı, Adnan (2022-05-01)
With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission,...
Towards 5G and beyond radio link diagnosis: Radio link failure prediction by using historical weather, link parameters
Aktaş, Semih; Alemdar, Hande; Ergüt, Salih (2022-04-01)
Weather-related phenomena such as clouds, rain, snow affect the performance of radio links. To reduce the adverse effects of radio link failures’ on the user experience, mobile operators require intelligent monitoring syst...
Next-Generation Payment System for Device-to-Device Content and Processing Sharing
Kihtir, Fatih; Yazıcı, Mehmet Akif; Oztoprak, Kasim; Alpaslan, Ferda Nur (2022-04-01)
Recent developments in telecommunication world have allowed customers to share the storage and processing capabilities of their devices by providing services through fast and reliable connections. This evolution, however, ...
Hand-crafted versus learned representations for audio event detection
Kucukbay, Selver Ezgi; Yazıcı, Adnan; Kalkan, Sinan (2022-04-01)
Audio Event Detection (AED) pertains to identifying the types of events in audio signals. AED is essential for applications requiring decisions based on audio signals, which can be critical, for example, for health, survei...
Partitioning and Reordering for Spike-Based Distributed-Memory Parallel Gauss--Seidel
Torun, Tugba; Torun, F. Sukru; Manguoğlu, Murat; Aykanat, Cevdet (2022-04-01)
Gauss--Seidel (GS) is a widely used iterative method for solving sparse linear sys-tems of equations and also known to be effective as a smoother in algebraic multigrid methods.Parallelization of GS is a...
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases
Asiler, Merve; Yazıcı, Adnan; George, Roy (2022-04-01)
The big graph database provides strong modeling capabilities and efficient querying for complex applications. Subgraph isomorphism which finds exact matches of a query graph in the database efficiently, is a challenging pr...
Targeting HIF1-alpha/miR-326/ITGA5 axis potentiates chemotherapy response in triple-negative breast cancer
Assidicky, Ridho; Tokat, Unal Metin; Tarman, Ibrahim Oguzhan; Saatci, Ozge; Ersan, Pelin Gulizar; Raza, Umar; Ogul, Hasan; Riazalhosseini, Yasser; Can, Tolga; Sahin, Ozgur (2022-03-01)
Purpose Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer that is frequently treated with chemotherapy. However, many patients exhibit either de novo chemoresistance or ultimately develop...
Modeling and Querying Fuzzy SOLAP-Based Framework
Keskin, Sinan; Yazıcı, Adnan (2022-03-01)
Nowadays, with the rise of sensor technology, the amount of spatial and temporal data is increasing day by day. Modeling data in a structured way and performing effective and efficient complex queries has become more essen...
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Tjomsland, Jonas; Kalkan, Sinan; Gunes, Hatice (2022-03-01)
To date, endowing robots with an ability to assess social appropriateness of their actions has not been possible. This has been mainly due to (i) the lack of relevant and labelled data and (ii) the lack of formulations of ...
Hypothesis-driven simulation experiments with an extension to SED-ML
Cam, S.; Oğuztüzün, Mehmet Halit S.; Yilmaz, L. (2022-03-01)
Most of the frameworks or assistance systems for experiment specification do not provide a process explicitly based on formally specified hypotheses. This deficiency leads to inaccurate or insufficient record of an experim...
Event prediction from news text using subgraph embedding and graph sequence mining
Çekinel, Recep Fırat; Karagöz, Pınar (Springer Science and Business Media LLC, 2022-2-28)
Event detection from textual content by using text mining concepts is a well-researched field in the literature. On the other hand, graph modeling and graph embedding techniques in recent years provide an opportunity to re...
GreenSlice: An Energy-Efficient Secure Network Slicing Framework
Akin, Ozan; Gulmez, Umut Can; Sazak, Ozan; Yagmur, Osman Ufuk; Angın, Pelin (2022-02-01)
The fifth generation of telecommunication networks comes with various use cases such as Enhanced Mobile Broadband, Ultra-Reliable and Low Latency Communications and Massive Machine Type Communications. These different type...
Deep Learning-Enabled Technologies for Bioimage Analysis
Rabbi, Fazle; Dabbagh, Sajjad Rahmani; Angın, Pelin; Yetisen, Ali Kemal; Tasoglu, Savas (2022-02-01)
Deep learning (DL) is a subfield of machine learning (ML), which has recently demon-strated its potency to significantly improve the quantification and classification workflows in bio-medical and clinical applications. Amo...
Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation
Akan, Adil Kaan; Akbaş, Emre; Yarman Vural, Fatoş Tunay (2022-01-01)
In this study, we introduce a measure for machine perception, inspired by the concept of Just Noticeable Difference (JND) of human perception. Based on this measure, we suggest an adversarial image generation algorithm, wh...
Plane-separated routing in ad-hoc networks
Ergenc, Doganalp; Onur, Ertan (2022-01-01)
Control and user (data) plane separation (CUPS) is a concept applied in various networking areas to scale network resources independently, increase the quality of service, and facilitate the autonomy of networks. In this s...
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