Bilgisayar Mühendisliği Bölümü
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Developing A Turkish Sentiment Lexicon Using Tone Distributions
(Fen Bilimleri Enstitüsü, 2022)With the developing technology and increasing use of the internet, many sources of data have been exposed to researchers. Analysis and extraction of meaningful information from this data is a research topic under the field ... -
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 ... -
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 ... -
Understanding Actions in Instructional Videos
(Fen Bilimleri Enstitüsü, 2023)Despite the promising improvements in human activity recognition for fundamental actions, understanding actions in instructional web videos is a challenging research problem. Instructional web videos contain various ... -
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 ... -
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 ... -
A Novel Multivariate Discretization Algorithm Using Dynamic Programming
(Fen Bilimleri Enstitüsü, 2023-01)Discretization is the task of converting quantitative (continuous) numerical data into qualitative (categorical) by assigning them into non-overlapping intervals. It is an important step in reducing the complexity of data ... -
Dynamic Fusion Networks For Predicting Saliency in Videos
(Fen Bilimleri Enstitüsü, 2023)Saliency estimation methods aim to model the human visual attention mechanisms which help to process the most relevant regions in a scene. In other words, the saliency estimation methods' goal is to develop a computational ... -
Multimodal Machine Comprehension of How-to Instructions with Images and Text
(Fen Bilimleri Enstitüsü, 2023)In the blink of an eye, we understand what we are looking at. Most of our brain is organized to process the visual information we receive; thus, replicating human intelligence requires a complete understanding of human ... -
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 ... -
A Computationally Efficient Heuristic Algorithm For Piecewise Linear Regression
(Fen Bilimleri Enstitüsü, 2023)Regression analysis is a method used to model the relationship between the dependent variables and the independent variable in the data, and to predict the dependent variable from the independent variables in the future ... -
Multi-Objective Approach for Intrusion Detection in RPL-Based Internet of Things
(Fen Bilimleri Enstitüsü, 2023)In the last decade, humanity has witnessed a tremendous increase in the number of life-saving applications such as smart home or automated industrial systems. This is mainly due to recent advances in resource-constrained ... -
A Novel Communicatıon Protocol Design For Internet Of Flying Things
(Fen Bilimleri Enstitüsü, 2023)In this thesis a new communication protocol, Message Queuing Telemetry Transport Extended (MQTT-XT) is proposed for the Internet of Flying Things (IoFT) network. The main objective of the proposed protocol is to enable ... -
Robust and Intelligent Control of Unmanned Aerial Vehicles
(Fen Bilimleri Enstitüsü, 2023-01-02)Quadrotors from the family of unmanned aerial vehicles have an important place for human life, because over the last decade, they have been used in many areas both civilian and military applications, such as search, ... -
An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition
(Fen Bilimleri Enstitüsü, 2022)In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ... -
Neural Semantİc Parsİng, Annotation and Evaluation for Turkish
(Fen Bilimleri Enstitüsü, 2022-12-13)Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ... -
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 ... -
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 ... -
Flight Maneuver Classification Using Artificial Neural Networks
(Fen Bilimleri Enstitüsü, 2023)There are globally known basic flight maneuvers performed by fighter and aerobatics pilots with agile aircraft. These basic flight maneuvers have strict rules that the pilots should follow to complete the maneuver and ...