Department of Computer Engineering, Thesis

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Thesis (1140)

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Abu-Shaar, Said (2)
Abu-Suod, Saleh M (2)
Abul, Osman (2)
Adanova, Venera (2)
Akpınar, Samet (2)

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Computer enginnering. (101)
Computer software. (72)
Computer engineering. (35)
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1980 - 1989 (131)
1990 - 1999 (215)
2000 - 2009 (315)
2010 - 2019 (421)
2020 - 2021 (38)

Recent Submissions

Attention mechanisms for semantic few-shot learning
Baran, Orhun Buğra; Cinbiş, Ramazan Gökberk; İkizler-Cinbiş, Nazlı; Department of Computer Engineering (2021-9-1)
One of the fundamental difficulties in contemporary supervised learning approaches is the dependency on labelled examples. Most state-of-the-art deep architectures, in particular, tend to perform poorly in the absence of l...
Integrating near and long-range evidence for visual detection
Samet, Nermin; Akbaş, Emre; Department of Computer Engineering (2021-9)
This thesis presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method. Inspired by the Generalized Hough Transform, HoughNet determines the presence of an object at a certain location by ...
TRUST-AWARE LOCATION RECOMMENDATION IN LOCATION-BASED SOCIAL NETWORKS
Cantürk, Deniz; Karagöz, Pınar; Department of Computer Engineering (2021-8-9)
Users can share their location with other social network users through location-embedded information in LBSNs (Location-Based Social Network). LBSNs contain useful resources, such as user check-in activities, for building ...
Developing multi-objective linear programming approaches for traffic signal optimization
Coşkun, Mustafa Murat; Toroslu, İsmail Hakkı; Şener, Cevat; Department of Computer Engineering (2021-7)
In many countries and metropolitan cities, traffic congestion, mainly caused by population growth and the increase in urbanization, has reached a significant level and has become a major problem for residents and decision...
Identifying and addressing imbalance problems in visual detection
Öksüz, Kemal; Kalkan, Sinan; Akbaş, Emre; Department of Computer Engineering (2021-5)
This thesis has two aims: (Aim 1) Identifying imbalance problems in visual detection, and (Aim 2) addressing these problems using loss functions based on performance measures. For Aim 1, we present a comprehensive review o...
Balanced Path Generation and Reliability Extension for In-band Network Telemetry
ŞİMŞEK, GÖKSEL; Onur, Ertan; Alemdar, Hande; Department of Computer Engineering (2021-5)
Network monitoring is one of the key aspects to ensure communication reliability in case of failures and malicious activities and has several design issues depending on the system characteristics. As traditional monitoring...
Intra- and Inter-Cluster Link Scheduling in Ad Hoc Networks
Eksert, Mustafa Levet; Onur, Ertan; Department of Computer Engineering (2021-4-7)
While clustering improves the scalability of ad hoc networks in comparison to flattopologies, it introduces additional challenges for resource scheduling when contention-free medium access is employed. This thesis address...
Determining user types from twitter account contentand structure
Gürlek, Mesut; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-3-05)
People are using social media platforms more and more every day; hence, they are be-coming suitable for research studies by their rich content. Twitter is one of the biggestand most widely used social media platforms, and ...
ESTRA: An easy streaming data analysis tool
Savaş Başak, Ecehan; Atalay, Mehmet Volkan; Department of Computer Engineering (2021-2-28)
Easy Streaming Data Analysis Tool (ESTRA) is designed with the aim of creating an easy-to-use data stream analysis platform that serves the purpose of a quick and efficient tool to explore and prototype machine learning so...
A comparative study of deep reinforcement learning methods and conventional controllers for aerial manipulation
Ünal, Kazım Burak; Kalkan, Sinan; Saranlı, Afşar; Department of Computer Engineering (2021-2-26)
Aerial manipulation with unmanned aerial vehicles is increasingly becoming a necessity in many applications. In this thesis, we analyze the controller approaches for a bi-rotor aerial manipulator for a pick and place opera...
Visual similarity for hdr images with applications to tone mapping
Aydınlılar, Merve; Akyüz, Ahmet Oğuz; Tarı, Zehra Sibel; Department of Computer Engineering (2021-2-15)
Assessing visual similarity between images is important for many computer vision applications. So far, investigations on visual similarity have been confined to low dynamic range images. However, recently, there is a growi...
Denoising and guided upsampling of Monte Carlo pathtraced low resolution renderings
Alpay, Kadir Cenk; Akyüz, Ahmet Oğuz; Department of Computer Engineering (2021-2-15)
Monte Carlo path tracing is used to generate renderings by estimating the rendering equation using the Monte Carlo method. An extensive amount of ray samples per pixel is needed to be cast during this rendering process to ...
Forecasting user behaviors in call detail records using LSTM models
Kocaman, Hasan; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-2-13)
City planners, governors and mobile phone operators utilize quite from Call DetailRecords (CDR) data in the fields like optimizations of traffic congestion, event de-tection, billing and advertisement policies. Both indiv...
Generalized zero-shot object recognition withoutclass-attribute relations
Er, Müslüm; Cinbiş, Ramazan Gökberk; Department of Computer Engineering (2021-2-11)
Over the last decade, great improvements have been achieved in image classifica-tion performances following the advances in supervised deep learning approaches.These supervised approaches, however, typically require subst...
A new data mining based upscaling approach for regional wind power forecasting
Özkan, Mehmet Barış; Karagöz, Pınar; Department of Computer Engineering (2021-2-8)
Together with the increasing need for energy, the importance of renewable energy sources has been increasing day by day. Although wind is one of the most important alternative energy sources due to its high potential, it i...
Utilizing video colorization as a self-supervised auxiliary task for object tracking
Fırat, Engin; Akbaş, Emre; Department of Computer Engineering (2021-2-08)
In this thesis work, we studied combining an object tracker, which uses siamese networks, with another model that is trained by using the self-supervised learning paradigm. We define grayscale video colorization as a prete...
Time series prediction of solar power generation using trend decomposition
Kavakçı, Gürcan; Ertekin Bolelli, Şeyda; Department of Computer Engineering (2021-2-5)
Accurate predictions are desirable in time series data due to the widespread usage of them in various domains. Each information in the data represents the characteristics of the time series. Making forecasting on data that...
An intelligent security architecture for sdn-assisted iot networks
Demirpolat, Ahmed; Angın, Pelin; Department of Computer Engineering (2021-1-26)
The rise of the Internet of Things (IoT) paradigm in the past decade has had a significant impact on all aspects of our lives through the many use cases it has made possible, including smart farming, smart homes, and remot...
EMDD-RL: faster subgoal identification with diverse density in reinforcement learning
Sunel, Saim; Polat, Faruk; Department of Computer Engineering (2021-1-15)
Diverse Density (DD) algorithm is a well-known multiple instance learning method, also known to be effective to automatically identify sub-goals and improve Reinforcement Learning (RL). Expectation-Maximization Diverse Den...
Curve-skeleton and mesh transfer between shapes
Seylan, Çağlar; Sahillioğlu, Yusuf; Department of Computer Engineering (2021-1-15)
The set of points having more than one closest point to the boundary of a shape is called the medial-axis or skeleton. Since its first introduction, many of its variants have been developed and used in shape analysis, retr...
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