Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Funding "Yok"
Now showing items 21-40 of 91
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An Investıgatıon Of Factors Affectıng The Adoptıon Of Do-200a Standard
(Fen Bilimleri Enstitüsü, 2021-04-30)Software organizations can use standards in the software field in order to reach their targeted quality level, to be a legal requirement or to increase their market shares in line with the accreditation or certification ... -
Analysis of Smart City Technologies
(Fen Bilimleri Enstitüsü, 2020)Technology, that cannot be prevented and reaches unbelievable points in the light of science, maintains a modern and technological era by offering great convenience to people in their lives. Smart Systems, Applications, ... -
Applıcatıon of Defuzzıfıcatıon-Free Hıerarchıcal Fuzzy Inference Rule Generatıon Method to Software Fault Predıctıon Problems and Fuzzy Rule Dıscussıon
(Fen Bilimleri Enstitüsü, 2020)Fuzzy inference systems, a sub-branch of artificial intelligence, are decision support systems based on fuzzy set theory. The knowledge is transmitted to these systems through linguistic fuzzy rules. In general, the rule ... -
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 ... -
Artificial Intelligence Based Flexible Preamble Allocation for Radio Access Network Slicing in 5G Networks
(Fen Bilimleri Enstitüsü, 2021)One of the most difficult challenges in Radio Access Network (RAN) slicing occurs in the connection establishment phase where multiple devices use a common Random Access Channel (RACH) to gain access to the network. It is ... -
Automatic Generation of Scientific Terminology with Deep Learning
(Fen Bilimleri Enstitüsü, 2021)Automatic term extraction is an essential task in natural language processing. In this thesis, we work on terminology extraction for two purposes. The first aim is to measure inconsistency of scientific terminology for ... -
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 ... -
Benchmarkıng Hındsıght Experıence Replay Reınforcement Learnıng Methods On Vehıcle Parkıng Envıronment
(Fen Bilimleri Enstitüsü, 2022-01)In the age we live in, both passenger transportation and freight transportation are of great importance. Parking the vehicles when they reach the target point is challenging for both humans and automatic parking systems. ... -
Blockchain Based Decentralized Data Management Model for Swarm UAV Systems
(Fen Bilimleri Enstitüsü, 2023)The rapid development of Unmanned Aerial Vehicles (UAVs) and the Internet of Things (IoT) has given rise to new possibilities for decentralized communication and data sharing among connected devices. Swarm UAV systems, in ... -
Blockchain Based Software Project Information Sharing and Estimation System
(Fen Bilimleri Enstitüsü, 2020)Accurate estimations play a significant role in the success of software projects, and companies should have sufficient number of past project data to make these estimations accurate and reliable. Some institutions gather ... -
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 ... -
Comparison of Control System Design Methods for a Bank-to-Turn Missile
(Fen Bilimleri Enstitüsü, 2021)In a bank-to-turn flight, cross-coupling dynamics are excited even more, compared to a skid-to-turn flight and these dynamics violate some of the assumptions that are made during the linearization of the system model. ... -
CUDA Based Real Time Implementation Of Region Covariance Descriptors
(Fen Bilimleri Enstitüsü, 2019-09)Computation time of computer vision applications is critical for real-time applications such as video processing. While applied methods achieve real-time performance, it is also vital to allow processors to work on other ... -
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 ... -
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 ... -
Developıng a Tool That Converts a Process Model Into a Bpmn Data Model By Mınıng From Multıple Perspectıves
(Fen Bilimleri Enstitüsü, 2021)Process mining is mainly focused on process discovery, and also replay techniques to check conformance and analyze bottlenecks. It is further applied to mine the other process perspectives, such as time, data, and resources, ... -
Dinamik Sembolik İşletme Yöntemi İle Matlab’da Test Verisi Üretimi
(Fen Bilimleri Enstitüsü, 2019)In Software Testing process, it is preferred that test data has a high coverage ratio and is applicable amount. Dynamic Symbolic Execution (DSE) method can provide these two benefits together. Within the scope of this ... -
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 ... -
EEG-Based Assessment of Cybersickness in a VR Environment and Adjusting Stereoscopic Parameters According to Level of Sickness to Present a Comfortable Vision
(Fen Bilimleri Enstitüsü, 2020)Virtual reality (VR) is an increasingly widespread technology that provides a more realistic and fully immersive experience by using head-mounted displays (HMDs). However, this medium comes with some side effects. Users ... -
Enhancement of Dark Images and Videos via Set-Based Learning
(Fen Bilimleri Enstitüsü, 2020)Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline. Images become too dark and too noisy, which makes traditional enhancement techniques almost impossible ...