Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu: Güncel gönderi
Toplam kayıt 267, listelenen: 21-40
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Learning to Reconstruct Intensıty Images From Events
(Fen Bilimleri Enstitüsü, 2024)The past decade has seen significant progress in computer vision, leading to diverse applications across various domains. However, today’s artificial vision systems remain in their infancy compared to their biological ... -
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 ... -
A New Blockchain-Based PKI and A Digital Signature Format For Long-Term Validation of Digital Signatures
(Fen Bilimleri Enstitüsü, 2024-01-01)Traditional Public Key Infrastructure (PKI) has long been grappling with security issues arising from its centralized and non-transparent design. Despite Google's implementation of the Certificate Transparency (CT) project ... -
Histopatolojik Görüntülerde Bez Bölütleme için Çoklu Görev Öğrenimi
(Fen Bilimleri Enstitüsü, 2024-12-08)Analysis of histopathological images plays a crucial role in cancer detection and grading. Although well-trained pathologists can perform these tasks, the process is time-consuming and prone to errors. The advancement of ... -
Audio-Visual Emotion Recognition Using Deep Operational Networks
(Fen Bilimleri Enstitüsü, 2024)Emotions have a significant impact on interpersonal communication, marketing, healthcare, and the service sector. Consequently, much study continues to be conducted on the categorization of emotions up to the present day. ... -
Defending Against Distillation-Based Model Stealing Attacks
(Fen Bilimleri Enstitüsü, 2024)Knowledge Distillation (KD) allows a complex teacher network to pass on its skills to a simpler student network, improving the student's accuracy. However, KD can also be used in model theft, where adversaries try to copy ... -
Advancing Software Defect Prediction through Ensemble XAI Methods: Insights and Performance Evaluation
(Fen Bilimleri Enstitüsü, 2024-05)This doctoral thesis presents a comprehensive investigation into enhancing the interpretability and transparency of Machine Learning (ML) models in the domain of Software Defect Prediction (SDP) through Model-Agnostic ... -
Prediction of Drug Response in Cancer Using Hybrid Deep Neural Networks
(Fen Bilimleri Enstitüsü, 2024)Assessing the best treatment option for each patient is the main goal of precision medicine. Patients with the same diagnosis may display varying sensitivity to the applied treatment due to genetic heterogeneity, especially ... -
Detection of Phishing Web Pages by Combining Semantical and Visual Information
(Fen Bilimleri Enstitüsü, 2024-04-17)The increased frequency and sophistication of cybercrimes resulted in severe monetary loss for individuals and entities, increasing the demand for robust and sustainable solutions. Although there are countless anti-phishing ... -
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). ... -
Otonom Oyun Ajanlarının Performansını Sürekli İyileştirmek için Görev Tabanlı Görsel Dikkat Kullanımı
(Fen Bilimleri Enstitüsü, 2024-01-05)Recent developments in the field of machine learning have led to the widespread acceptance of Deep Reinforcement Learning (DRL) techniques, which are a subset of machine learning, in the realm of digital intelligence. DRL ... -
Spatio-Temporal Isolation-Based Online Anomalous Trajectory Detection
(Fen Bilimleri Enstitüsü, 2024)The ubiquity of GPS data from taxis has spurred research in spatio-temporal trajectory analysis. Anomaly detection within these trajectories is vital for ensuring safety and efficiency. Existing methods address this by ... -
Data Augmentation For Natural Language Processing
(Fen Bilimleri Enstitüsü, 2024)Advanced deep learning models have greatly improved various natural language processing tasks. While they perform best with abundant data, acquiring large datasets for each task is not always easy. Therefore, by using data ... -
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 ... -
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. ...
