Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu
Recent Submissions
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SWITCHED DECISION TREE FOR SIMULTANEOUS LEARNING OF MULTIPLE DATASETS
(Fen Bilimleri Enstitüsü, 2024)This paper proposes a framework to learn multiple datasets simultaneously using a single full decision tree structure. The threshold values are changed with respect to the dataset and stored in a matrix called “mask”. ... -
VIDEO ANOMALY DETECTION USING KNOWLEDGE DISTILLATION
(Fen Bilimleri Enstitüsü, 2024)With advent of technology, tremendous size of visual data is being generated by video surveillance systems, which makes harder to search, analyze, and detect anomalies on video data by human operators. Consequently, video ... -
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 SKILL ASSESSMENT MODEL FOR HUMAN RESOURCES SKILL DEVELOPMENT ENABLING DIGITAL TRANSFORMATION: DX-HRSAM
(Fen Bilimleri Enstitüsü, 2024)In today's era of rapid technological advancement, digital transformation stands at the forefront of Industry 4.0, revolutionizing both personal and professional spheres. This paradigm shift is fueled by the integration ... -
Blockchain Based Decentralized Identity System for Internet of Things Devices
(Fen Bilimleri Enstitüsü, 2024)The quantity of interconnected Internet of Things (IoT) devices has been increasing recently as a result of advancements in communication and hardware technologies. Predictions indicate that, by the end of 2025, there will ... -
Retweet Prediction on Earthquake Tweets
(Fen Bilimleri Enstitüsü, 2024-09-14)On February 6, 2023, an earthquake centered in Kahramanmaraş killed or damaged many people. In the aftermath of these devastating earthquakes, the efficiency of communication channels in the crisis zone is of vital importance. ... -
Generating Action Description Text From Skeleton Key Points Sequence
(Fen Bilimleri Enstitüsü, 2024)Although numerous sign language datasets are available, they generally include only a small portion of the thousands of signs used worldwide. Furthermore, the creation of diverse sign language datasets is both costly and ... -
A Decision Support System for Software Architecture Decision Making
(Fen Bilimleri Enstitüsü, 2024-06)Software architecture forms the overall structure of a software system and defines how its components work and interact together. It serves as a critical schema that specifies in detail the structure, elements and communication ... -
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 ... -
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 ... -
Quantum Blockchain Architecture for Military Internet of Things
(Fen Bilimleri Enstitüsü, 2024-06-14)In a world rapidly shaped by the ascent of Quantum Computing, the cybersecurity ecosystem confronts unprecedented challenges. The immense computational power of Quantum Computers (QCs) threatens the security of classical ... -
Polinom Ekstrapolasyon Yöntemiyle Engel Kaçınım Tabanlı Yeni Bir Sanal Kuvvet Alanı Yöntemi
(Fen Bilimleri Enstitüsü, 2024)The key point of a autonomous position changing for a vehicle between moving or stationary obstacles is that being able to reach the target point without any collisions with the obstacles. In this thesis work, a new method ... -
Improving Video Retrieval with Data Expansion and Knowledge Graphs
(Fen Bilimleri Enstitüsü, 2024)Recent video-text multimodel approaches provide good results on retrieval tasks. However, the performance of domain-specific cases might be decreased because of internal differences with generic data. Since deep learning ... -
Development of A Machine Learning Based Application For Diagnosing Autoinflammatory Diseases
(Fen Bilimleri Enstitüsü, 2024-02)Diseases caused by immune system dysfunction have numerous complications, significantly affecting patients' life quality. One specific group of such diseases is autoinflammatory diseases, which occur when the immune system ... -
Android authorship attribution using source code-based features
(Fen Bilimleri Enstitüsü, 2024)With the widespread use of mobile devices, Android has become the most popular operating system, and new applications are uploaded to the Android market every day. However, because of the ease of modifying and repackaging ... -
DETECTING NOVEL BEHAVIOR AND PROCESS IMPROVEMENT WITH MULTI-MODAL PROCESS MINING
(Fen Bilimleri Enstitüsü, 2024)The importance of data has increased, especially with the spread of Internet of Things (IoT)-like technologies as a result of the 4th Industrial Revolution. In order to make sense of the data, valuable sciences have also ... -
Using Network-On-Chip Structure in Deep Neural Network Accelerator Design
(Fen Bilimleri Enstitüsü, 2024)The widespread adoption of Deep Neural Networks (DNNs) in various fields, such as image and speech recognition, natural language processing (NLP), and autonomous systems, has been noted. However, the computational cost ... -
Extreme Low Resolution Video Action Recognition
(Fen Bilimleri Enstitüsü, 2023)The rapid evolution of machine learning and deep learning approaches has enabled robust solutions for complex and computationally intensive problems, particularly in describing, identifying, and segmenting video content. ... -
Dynamic Task Allocation and Path Planning for Multi-Aircraft Missions
(Fen Bilimleri Enstitüsü, 2024)Military aircraft are advanced vehicles capable of performing various missions, primarily in air-to-air and air-to-ground scenarios. Before takeoff, a mission plan is prepared by ground crews, and pilots are expected to ... -
Packaging Planning Prediction Using Multi-Class and Multi-Output Algorithms
(Fen Bilimleri Enstitüsü, 2024-02-08)In the rapidly evolving industrial landscape, Artificial Intelligence (AI) has emerged as a transformative force in various sectors, including manufacturing and supply chain management. Meanwhile, packaging planning is ...