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A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases
(Fen Bilimleri Enstitüsü, 2022-06)
Considering that software usage rates have increased, it is inevitable for end-users to prefer high-quality software products. Undoubtedly, one of the most important quality indicators of a software product is its defect ...
The Relationship of Cybersickness with Eye and Brain Activity in Response to Varying Speed, Scene Complexity and Stereoscopic VR Cues
(Fen Bilimleri Enstitüsü, 2022)
In this study, our aim is to make an evaluation of the interplay between environment-based cues, namely speed, scene complexity and stereoscopic rendering parameters, and the discomfort felt in the form of cybersickness ...
Monocular Depth Estimation with Self-Supervised Representation Learning
(Fen Bilimleri Enstitüsü, 2022)
Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ...
Recognizing Human Actions from Images with Attention Mechanism
(Fen Bilimleri Enstitüsü, 2022-05)
Human action recognition in still images is a challenging problem due to the lack of complete motion compared to videos. A single snippet of the ongoing action does not compete with the rich information provided by a video. ...
Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes
(Fen Bilimleri Enstitüsü, 2022)
Action quality assessment using computerized methods is considered to be a promising direction in objective evaluation of actions in several domains including health, sport and education. In a typical architecture for ...
Real-Time Radar Tracking System With Deep Learning
(Fen Bilimleri Enstitüsü, 2023)
Real-time data tracking plays an essential role in the flight test processes of an aircraft. The data flowing from the aircraft to the ground control center must be real-time and uninterrupted. However, sometimes ground ...
An In-Depth Analysis of Visual Saliency in Rendered Virtual Reality Environments
(Fen Bilimleri Enstitüsü, 2023-02-03)
In virtual reality (VR), visual saliency has been exploited in order to solve different problems in the literature. However, the studies to reveal the underlying mechanism and the potential of visual saliency in VR are ...
Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations
(Fen Bilimleri Enstitüsü, 2022)
The last decade has witnessed the meteoric rise of data-driven methods, which has been elevated to new heights thanks to the availability of powerful hardware and abundant data. Despite their swift ascension, deep learning ...
Comparative Study on Music Source Separation Methods
(Fen Bilimleri Enstitüsü, 2022)
Blind source separation is the concept that separates the source signals from the mixture signal. "Blind" means no prior knowledge of the source or the mixing environment. The blind source separation problem is a problem ...
Microservice Reference Architecture for Deriving Application Architectures
(Fen Bilimleri Enstitüsü, 2023-01-04)
Microservice architecture (MSA) is an architectural style for distributed software systems, which promotes the use of fine-grained services with their own lifecycles. Several benefits of MSA have been reported in the ...