Graduate School of Informatics, Thesis

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Thesis (770)

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Akkoyun, Emrah (2)
Alkan, Sarper (2)
Alkış, Nurcan (2)
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Arpacı, İbrahim (2)

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Computer software (33)
Computer software. (33)
Engineering and Technology (30)
Mobile communication systems. (27)
Computer games. (22)

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1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2021 (66)

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Master Thesis (597)
Ph.D. Thesis (173)

Recent Submissions

Verifying maze-like game levels with model checker SPIN Tekik, Onur; Betin Can, Aysu; Sürer, Elif; Department of Information Systems (2021-11-5) In this thesis, we present a new methodology that includes procedural generation and verification of maze-like game levels. The methodology employs a model checker, called SPIN, to both produce a winning sequence of action...
EVENT POINTS: A SOFTWARE SIZE MEASUREMENT MODEL Hacaloğlu, Tuna; Betin Can, Aysu; Demirörs, Onur; Department of Information Systems (2021-9-10) Software Size Measurement is a critical task in Software Development Life Cycle (SDLC). It is the primary input for effort estimation models and an important measure for project control and process improvement. There exist...
Estimation of the user's cognitive load while interacting with the interface based on bayesian network Saydam, Aysun; Barbaros, Yet; Department of Cognitive Science (2021-9-10) The complexity of human machine interfaces is increasing significantly in parallel with the development of technology and excessive data growth, but human cognitive capacity is limited. Therefore, measuring cognitive load ...
A novel pre-processing workflow for popularity prediction in social media Yıldırım, Hüseyin Buğra; Taşkaya Temizel, Tuğba; Department of Information Systems (2021-9-10) Users in Twitter are in continuous interaction with each other through posts and reactions such as likes and retweets. Tweets often get a little reaction from people, with only a few of them receiving a prominent response....
A container-based code offloading framework for mobile edge computing applications Dur, Hakan Mesut; Koçyiğit, Altan; Department of Information Systems (2021-9-10) Recently, the use of mobile devices has increased tremendously. This leads to the growing complexity and diversification of mobile applications. However, mobile devices generally do not keep up with this growth and they us...
BYZANTINE ATTACK ROBUST FEDERATED LEARNING Işık Polat, Ece; Koçyiğit, Altan; Department of Bioinformatics (2021-9-09) In federated learning (FL), collaborators train a global model collectively without sharing their local data. The local model parameters of the collaborators obtained from their local training process are collected on a tr...
A DATA DRIVEN PERFORMANCE EVALUATION FRAMEWORK FOR SPORTS ANALYTICS Aydemir, Ayşe Elvan; Taşkaya Temizel, Tuğba; Temizel, Alptekin; Department of Bioinformatics (2021-9-08) Performance evaluation is a challenging, multidimensional and multi-criteria assessment problem. One application area is the player transfers in football (soccer), where player performance must be evaluated in-line with th...
An intervention framework for design and development of interactive video lectures based on video viewing behaviors: A learning analytics approach Yürüm, Ozan Raşit; Yıldırım, İbrahim Soner; Taşkaya Temizel, Tuğba; Department of Information Systems (2021-9-7) Video-based learning has become very popular together with the increase in the number of massive open online courses (MOOCs). Learners interacting with video naturally exhibit viewing behaviors based on clickstream interac...
GENOTYPE CATALOG FOR THE ANALYSIS OF DRUG-DRUG INTERACTIONS OZDEMIR, AYSE; Acar, Aybar Can; Department of Bioinformatics (2021-9-07) Polypharmacy is an essential practice in today’s therapeutics, especially in the care of older population. Most polypharmacy-induced drug-drug interactions (DDIs) are often discovered after drugs are put on the market. Hea...
Automatic segmentation of mitochondria in scanning electron microscopy images Güven, Mehmet Çağrı; Mumcuoğlu, Ünal Erkan; Department of Information Systems (2021-9-7) Many studies have shown that shape of mitochondria indicates the occurrence of diseases. Scanning Electron Microscopy (SEM) enables to obtain image of internal structures of the cell and mitochondria. Automatic segmentatio...
INTEGRATIVE NETWORK MODELLING OF DRUG RESPONSES IN CANCER FOR REVEALING MECHANISM OF ACTION Ünsal Beyge, Şeyma; Tunçbağ, Nurcan; Department of Medical Informatics (2021-9-6) Classification of cancer drugs is crucial for drug repurposing since the cost and innovation deficit make new drug development processes challenging. Heterogeneity of cancer causes drug classification purely based on known...
IDENTIFICATION OF CELLULAR STRESS RELATED BIOMOLECULES FOR EVENTUAL USE IN TARGETED THERAPIES OF HEPATOCELLULAR CARCINOMA Gözen, Damla; Aydın Son, Yeşim; Atalay, Rengül; Department of Medical Informatics (2021-9-06) Hepatocellular carcinoma (HCC) is one of the most common and deadly cancer types. HCC cells generally display increased resistance to various stress conditions such as oxidative stress. There are conventional therapies use...
SYSTEMS BIOLOGY ANALYSIS OF KINASE INHIBITORS IN LIVER CANCER CELLS USING NEXT GENERATION SEQUENCING DATA Narcı, Kübra; Aydın Son, Yeşim; Atalay, Rengül; Department of Medical Informatics (2021-9-06) The underlying mechanism for the development of Hepatocellular Carcinoma (HCC) is highly complex due to tissue heterogeneity. Although the traditional approaches mainly focus on a single gene or locus, understanding the v...
Exploring the factors affecting consumer intention to use wearable mobile devices to track health information Pancar, Tansu; Özkan Yıldırım, Sevgi; Department of Information Systems (2021-9) The popularity and usage of wearable devices is increasing as a consequence of their increasing capabilities. These devices collect various types of health related data with increasing accuracy. Collected data is used by c...
Effective connectivity model differences of emotion regulation in major depressive disorder: dynamic causal modeling analysis Özaydın, Mustafa; Çakır, Murat Perit; Department of Cognitive Sciences (2021-9) Major Depressive Disorder (MDD) is a mental disorder and one of the most critical and prevalent disorders in the world. Unlike other diseases, the diagnosis of mental disorders does not easily conform to objective tests. M...
CANCER DRIVER SUBNETWORK IDENTIFICATION BY NETWORK DISMANTLING METHODS Kasapoğlu, Fatma Ülkem; Tunçbağ, Nurcan; Department of Bioinformatics (2021-9) Tissue-specific protein protein interaction networks(TSPPI) are important for studying tissue-based cellular processes and protein functions. As the functions of tissues are various, the proteins they contain and the funct...
Generation and modification of 3D models with deep neural networks Öngün, Cihan; Temizel, Alptekin; Department of Information Systems (2021-9) Artificial intelligence (AI) and particularly deep neural networks (DNN) have become very hot topics in the recent years and they have been shown to be successful in problems such as detection, recognition and segmentation...
A comparison of bio-inspired and conventional routing algorithms for fixed-wing UAV FANETs ŞEKER, Burak; Koçyiğit, Altan; Ever, Enver; Department of Information Systems (2021-9) Fixed-Wing Flying Ad Hoc Networks (FW-FANETs) indicates a communication network in which the nodes are fixed-wing UAVs, or drones, which are distributed within a 3D environment. For FW-FANET applications where the network ...
Turkish clickbait detection in social media via machine learning algorithms Genç, Şura; Sürer, Elif; Çakır, Murat Perit; Department of Cognitive Sciences (2021-8-26) Clickbait strategy, mostly used in headlines and teaser messages, aims to attract people’s attention, and make them click on the link by using intriguing expressions with various text-related features. Clickbait, which has...
ATTITUDES OF CITIZENS TOWARDS IOT-BASED SMART CITY APPLICATIONS AND USE: DEVELOPMENT OF AN ADOPTION MODEL USING STRUCTURAL EQUATION MODELING BEŞTEPE, Fırat; Özkan Yıldırım, Sevgi; Department of Information Systems (2021-8-23) Citizen-centric smart city services aim to make the public sector more efficient, create more public value and improve quality of life (QoL) for all citizens. However, before any technology enters the market, the factors m...

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