Department of Computer Engineering, Thesis

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Master Thesis (986)
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Thesis (1)

Recent Submissions

Preserving privacy of health data residing in HL7 FHIR repositories through de-identification
Şimşek Yılgın, Ezelsu; Karagöz, Pınar; Department of Computer Engineering (2022-1-28)
Collaboration and data sharing are essential aspects of health research. Nevertheless, the number of sensitive health data breaches is increasing and there is a significant need to ensure that the privacy of patients is pr...
An application for continuous behavioral health monitoring and delivering digital personalized behavior change interventions
Başkaya, Mert; Çiçekli, Fehime Nihan; Department of Computer Engineering (2021-12-10)
In this thesis, a continuous behavioral health monitoring architecture is developed for chronic disease patients with a mobile application, a health data ingestion stack and a rule-based intervention engine. The mobile app...
AN ANALYSIS ON THE EFFECT OF DYNAMIC RANGE ON OBJECT DETECTION WITH DEEP NEURAL NETWORKS
Koçdemir, İsmail Hakkı; Kalkan, Sinan; Alatan, Abdullah Aydın; Department of Computer Engineering (2021-10-8)
An important problem in computer vision, particularly in object detection, is being able to perceive objects even under challenging illumination conditions. Being robust to such conditions is especially important in applic...
Density-Based and parameterless clustering of embedded data streams
Poyraz, Özlem; Atalay, Mehmet Volkan; Department of Computer Engineering (2021-9-09)
With the accelerating digitalization of the world, the amount of high-speed data produced increases rapidly, and it is difficult to record and collectively process such a data-stream. This creates the need for processing a...
Text Generation and Comprehension for Objects in Images and Videos
Anayurt Özyeğin, Hazan; Kalkan, Sinan; Department of Computer Engineering (2021-9-09)
Text generation from visual data is a problem often studied using deep learning, having a wide range of applications. This thesis focuses on two different aspects of this problem by proposing both supervised and unsupervis...
Towards Uncertainty-Aware Disentangled Representations
Özyeğin, Sezai Artun; Kalkan, Sinan; Department of Computer Engineering (2021-9-09)
In many computer vision tasks, not every part of an object of interest is always visible because of challenges like occlusion, viewpoint and pose variation. One approach to these kinds of challenges is separating the repre...
IDENTIFYING ISOFORM SWITCHES IN BREAST CANCER
HENDEN, Şevki Onur; Can, Tolga; Department of Computer Engineering (2021-9-9)
Characterizing the human genome's molecular functions and their variations across people is vital for understanding the cellular processes behind human genetic characteristics and diseases. With the advent of single-cell R...
Image generation by back-propagation on input using a discriminator network
Taplı, Merve; Akbaş, Emre; Department of Computer Engineering (2021-9-08)
In this thesis, we propose an image generation method that only involves a discriminator network; no generator or decoder networks are required. To generate an image, we iteratively apply an adversarial attack on the discr...
Autonomous Fruit Picking With a Team of Aerial Manipulators
Köse, Tahsincan; Ertekin Bolelli, Şeyda; Department of Computer Engineering (2021-9-7)
Manipulation is the ultimate capability for autonomous micro unmanned aerial vehicles (MAVs), which would enable a substantial number of novel use-cases. Precision agriculture is such a domain with plenty of practical prob...
Artificial intelligence based dynamic mission planning with probabilistic roadmaps and Voronoi diagrams using predictive launch acceptability region approach
Özdemir, Mustafa Raşit; Ertekin Bolelli, Şeyda; Department of Computer Engineering (2021-9-2)
In this thesis, dynamic air-to-surface mission planning strategies based on probabilistic roadmaps and Voronoi diagrams using predictive launch acceptability region approach are proposed for opportunity targets in order ...
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...
Wasserstein generative adversarial active learning for anomaly detection with gradient penalty
Duran, Hasan Ali; Ertekin Bolelli, Şeyda; Department of Computer Engineering (2021-9)
Anomaly detection has become a very important topic with the advancing machine learning techniques and is used in many different application areas. In this study, we approach differently than the anomaly detection methods ...
Placement of 5G RAN slices in multi-tier open RAN 5G networks with flexible functional splits
Sarıkaya, Egemen; Onur, Ertan; Department of Computer Engineering (2021-9)
The network slicing concept has gained much attention with the development of software-defined network and network function virtualization technologies, enabling logically isolated networks for different purposes in the sa...
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 ...
Level generation using genetic algorithms and difficulty testing using reinforcement learning in match-3 game
Dukkancı, Samet Alp; Alpaslan, Ferda Nur; Department of Computer Engineering (2021-9)
The gaming industry is an enormous one that includes game development, art, and marketing. It has grown faster in recent years, especially in the mobile gaming area. Competition in mobile gaming increased in such a way tha...
Traffic volume prediction using LSTM improved with rules obtained from anomalies
Gültekin, Yasin Berk; Toroslu, İsmail Hakkı; Şener, Cevat; Department of Computer Engineering (2021-9)
Traffic volume forecasting is crucial in order to create a successful smart transportation system. The precision and timeliness of the traffic flow data are critical to the forecast's effectiveness. The lack of data has le...
Real-time intrusion detection and prevention system for SDN-based IoT networks
Sarıça, Alper Kaan; Angın, Pelin; Department of Computer Engineering (2021-9)
The significant advances in wireless networks with the 5G networks have made possible a variety of new IoT use cases. 5G and beyond networks will significantly rely on network virtualization technologies such as SDN and NF...
Automatic disambiguation of Turkish discourse connectives based on a Turkish connective lexicon
Başıbüyük, Kezban; Doğru, Ali Hikmet; Zeyrek Bozşahin, Deniz; Department of Computer Engineering (2021-8-31)
In this thesis, we developed methods for disambiguating the discourse usage and sense of connectives in a given free Turkish text. For this purpose, we firstly built a comprehensive Turkish Connective Lexicon (TCL) includi...
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...
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