Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu: Güncel gönderi
Toplam kayıt 267, listelenen: 61-80
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İnsansız Hava Araçlarında Bulunan Kameralar Kullanılarak Orman Yangınlarının Tespit Edilmesi
(Fen Bilimleri Enstitüsü, 2023)Unmanned aerial vehicles(UAVs) are invaluable technologies thanks to their remote control and monitoring capabilities. Operational forces and firefighters use UAVs in wildfire detection missions. Due to their high pattern ... -
Artificial Intelligence Applications in Early Diagnosis of Sepsis Disease
(Fen Bilimleri Enstitüsü, 2023)Sepsis is a major cause of death in intensive care units worldwide. Early diagnosis and treatment are crucial for improving patient survival and reducing organ dysfunction. Combining sepsis research and computer science ... -
A Quality Evaluation Meta-Model for Open Source Software
(Fen Bilimleri Enstitüsü, 2023)In recent years, Open Source Software (OSS) has gained an increasing attention due to its voluntary supporters, growing community, no vendor lock-in, low total cost of ownership, and ease of accessibility in cloud repositories. ... -
Evolutionary Dynamic Optimization for Dynamic Trust Management in Vehicular Ad Hoc Networks
(Fen Bilimleri Enstitüsü, 2023-06-09)Trust management in vehicular ad hoc networks (VANETs) is a challenging dynamic optimization problem due to their decentralized, infrastructureless, and dynamically changing topology. Evolutionary computation (EC) algorithms ... -
Developing a Comprehensive Emotion Lexicon for Turkish
(Fen Bilimleri Enstitüsü, 2023-09)Social media and mood meters on websites have made expressing ideas easy and clear. These communication channels have produced useful data that can be used across disciplines. These data have helped researchers in several ... -
Behavior Analysis Based Protest Event Detection
(Fen Bilimleri Enstitüsü, 2023)Purpose: Social unrest is a phenomenon that occurs in all countries, both developed and poor. The only difference is in the cause of a social unrest and it is mostly economic in underdeveloped countries. The occurrence ... -
Weakly-Supervised Relation Extraction
(Fen Bilimleri Enstitüsü, 2023)Relation extraction is a crucial element for numerous natural language processing applications, including text summarization and question answering. It is noteworthy that there are diverse methodologies for relation ... -
Tales of Turbulence: BERT-Based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 through FOMC Minutes
(Fen Bilimleri Enstitüsü, 2023-09)Although communication of the central banks with the market was still quite limited at the end of the 20th century, and the authorities had agreed that policymakers should hold a more secretive attitude, this situation ... -
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 ...
