Alt Tür "software" Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu için listeleme
Toplam kayıt 32, listelenen: 1-20
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A Comprehensive Analysis of Adversarial Attacks on Spam Filters
(Fen Bilimleri Enstitüsü, 2024)Email spam filters help detect malware before it reaches the mailbox and are a vital part of cyber security. Machine learning-based spam detectors have also proven to be useful and highly successful. With the advancement ... -
A Fault-Tolerant Deployment Approach for Microservices in the Design Phase of Software Development Life Cycle
(Fen Bilimleri Enstitüsü, 2024-05-15)The concept of microservices architecture has gained significant interest in recent years, primarily due to its capacity to develop large-scale and extensive software systems while offering improved scalability, flexibility, ... -
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 ... -
A Plagiarism Detection System Based on POS Tag N-Grams
(Fen Bilimleri Enstitüsü, 2022)It is a common problem to find similar parts in two different documents or texts. Especially, a text suspected of plagiarism is likely to have similar characteristics with the source text. Plagiarism is defined as taking ... -
A Question Answering System Using Deep Learning Techniques in the Education Domain
(Fen Bilimleri Enstitüsü, 2024-09)Integrating advanced AI-driven question answering (QA) systems into educational settings offers significant potential for enhancing learning experiences. This study focuses on developing and optimizing an educational QA ... -
A Sample Verification and Validation Framework for Open Source Simulation Software
(Fen Bilimleri Enstitüsü, 2022)Verification and Validation (V&V) activities performed in the life cycle of a software project are necessary to meet technical specifications and requirements. Likewise, V&V activities in a simulation project's life cycle ... -
A Tıme-Based Intuıtıve Path Plannıng On Large-Scale Crowd Sımulatıon Models
(Fen Bilimleri Enstitüsü, 2021)Traditional management models of intersections, such as no-light intersections or signalized intersection, are not the most effective way of passing the intersections if the vehicles are intelligent. To this end, Dresner ... -
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 ... -
Agile Fight in Dynamic Environments: Bridging Reinforcement and Imitation Learning
(Fen Bilimleri Enstitüsü, 2024-06)In recent years, the utilization of drones has seen a remarkable increase across various sectors, including surveillance, delivery services, and environmental monitoring. This surge is largely attributed to advancements ... -
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 ... -
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 ... -
Audio Classification with Few-Shot Learning
(Fen Bilimleri Enstitüsü, 2024-09-24)This thesis does a full experimental study of the few-shot classification problem in the audio domain to compare how well episodic and non-episodic training methods work.Three different optimization algorithms are trained ... -
Automatic Arrhythmia Classification from Electrocardiogram Measurements with Deep Learning
(Fen Bilimleri Enstitüsü, 2024)ECG signals have an important place in detecting arrhythmias. Arrhythmias are irregular heartbeats. One of the most popular studies in this field is the classification of arrhythmias with artificial neural networks. In the ... -
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. ... -
Continuous Sign Language Translation on the New Educational Turkish Sign Language Dataset (E-TSL) Using Neural Machine Translation Methods
(Fen Bilimleri Enstitüsü, 2024)Sign language is a fundamental communication tool for people with hearing and speech disabilities. However, it is not widely known by others, making communication challenging for those who rely on it. Additionally, sign ... -
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, ... -
Estımatıng Instrumentatıon Data Acquıred Durıng Flıght Test From A Helıcopter Engıne Usıng Predıctor Models
(Fen Bilimleri Enstitüsü, 2021)Flight test of a helicopter is the most dangerous phase of its development project. Any minor mistake or miscalculation during a test could lead to a catastrophic accident. In order to protect the health of a helicopter ... -
Explaining Artificial Neural Networks With Decision Tree Ensembles
(Fen Bilimleri Enstitüsü, 2023)With the development of efficient algorithms, artificial intelligence (AI) applications have become ubiquitous in almost every aspect of our lives. They have even started to be used in critical areas such as defense industry, ... -
Federated Learning With Uncertainty For Different Tasks
(Fen Bilimleri Enstitüsü, 2024-04-29)Classical machine learning paradigms typically centralize all data on a single server for training, which can lead to problems such as data confidentiality, storage costs, and bandwidth requirements for data transfer. To ... -
Genetic Algorithm and Binary Masks For Co-Learning Multiple Datasets in Deep Neural Networks
(Fen Bilimleri Enstitüsü, 2024-01)This study addresses the challenges of 'catastrophic forgetting' and 'multi-task learning' encountered in the field of data classification and analysis, particularly with the use of Convolutional Neural Networks (CNNs). ...
