Bilgisayar Mühendisliği Bölümü
Bu bölümdeki koleksiyonlar
Güncel Gönderiler
-
Fake Detection and Analysis in Tweets With Machine Learning Algorithms
(Fen Bilimleri Enstitüsü, 2025)The widespread use and application of social media have raised concerns about whether the shared data contains accurate information or is misleading. Fake detection applications are used to detect fake Twitter(X) posts and ... -
Visual Representation Learning by Exploring Spatio-Temporal Consistency
(Fen Bilimleri Enstitüsü, 2025)Video representation learning is a fundamental area of research in computer vision. It focuses on developing methods and models to encode video data into definitive and discriminative representations that can be ... -
Investigation of Irregular Network-on-Chip Topologies for Deep Neural Network Accelerators
(Fen Bilimleri Enstitüsü, 2025)Network-on-Chip (NoC) architectures are essential for enabling efficient and scalable communication in System-on-Chip (SoC) designs, offering flexibility and adaptability for diverse applications. This versatility enables ... -
Explainable Artificial Intelligence Based Anomaly Detection for Internet of Things
(Fen Bilimleri Enstitüsü, 2024-12)The Internet of Things (IoT) ecosystem is rapidly increasing, with billions of interconnected devices exchanging vast amounts of data daily. This expansion has made ensuring the security and reliability of IoT systems ... -
Generation Of Corner Cases In Infrared Autonomous Driving Dataset With Stable Diffusıon
(Fen Bilimleri Enstitüsü, 2025-01-17)The main priority of autonomous driving is situational awareness. To achieve this, autonomous vehicles are equipped with many sensors such as cameras, radar, and LIDAR. With the developments in deep learning, algorithms ... -
Automtic Antibıotic Susceptibility and Antibiogram Prediction With Machine Learning Methods
(Fen Bilimleri Enstitüsü, 2025)Antimicrobial resistance (AMR) is a global health problem that poses a threat for now and poses an even greater threat for the future. Since the discovery of the first antibiotics, pathogens have developed different ... -
Mass Predıctıon From 2D Images
(Fen Bilimleri Enstitüsü, 2025)The primary goal of this thesis is to estimate the mass of objects using 2D images. Although mass estimation was initially the primary goal, the scope was narrowed to "volume estimation from 2D images" by assuming that ... -
Görünür ve Kızılötesi Görüntülerde Kişiyi Yeniden Tanıma
(Fen Bilimleri Enstitüsü, 2024-11-22)Person re-identification and cross-modality person re-identification are computer vision tasks that aim to accurately match images of individuals. Visible-infrared cross-modality person re-identification is a more challenging ... -
Evaluation of Collective Communication Algorithms Targetingin-Network Computation-Enabled High-Performance Networks
(Fen Bilimleri Enstitüsü, 2025-01)This thesis explores the impact of in-network computing (INC) on the performance of collective communication operations in parallel computing systems utilizing a fat-tree network topology. By integrating computational tasks ... -
Development of an Agile Story Point Estimation Model for Scrum: A Fusion of Natural Language Processing and Machine Learning Techniques
(Fen Bilimleri Enstitüsü, 2024)Accurate Software Effort Estimation (SEE) is a persistent challenge in Agile Software Development (ASD) due to the iterative and dynamic nature of Agile processes, where traditional estimation techniques like Planning Poker ... -
Refactoring Train Control Management Software For Real Time Operations
(Fen Bilimleri Enstitüsü, 2025)Model-driven development is a widely used approach in various domains, and its popularity has been increasing in certain industries. Refactoring software models is essential to maintain and enhance the quality of software ... -
Metin Analizi ve Konum Tabanlı Sosyal Ağlarda Konum önerisi
(Fen Bilimleri Enstitüsü, 2024-12-25)Purpose: The purpose of this thesis is to enhance recommendation systems by leveraging Heterogeneous Information Networks (HINs) integrated with Aspect-Based Sentiment Analysis (ABSA). It aims to address challenges in ... -
Task Offloading Methods in Fog-based IOT
(Fen Bilimleri Enstitüsü, 2024)Fog computing enables efficient task processing with low processing latency and bandwidth overhead between devices and the cloud in Internet of Things (IoT) networks. The reliability of these networks is critical as fog ... -
Süreç Madenciliğinde Tahmine Dayalı Süreç İzleme Tekniklerinin Kalitesinin Açıklanabilir Yapay Zeka Yöntemleri İle Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2024)Predictive process monitoring (PPM) techniques used in process mining aim to predict future attributes of a process, such as process outcome, next activity to be executed, or remaining work time. Many existing PPM approaches ... -
Evaluating Zero-Shot Learning Capabilities of Vision-Language Models
(Fen Bilimleri Enstitüsü, 2024)Vision-Language Models (VLMs) stand at the forefront of artificial intelligence research, aiming to bridge the gap between visual content and natural language understanding. Their significance lies in their potential to ... -
Predicting Disease-Gene Associations Via Machine Learning
(Bilişim Enstitüsü, 2024)In the quest to elucidate disease etiology and develop advanced diagnostic and treatment tools, knowing disease-gene relationships is of great importance. Traditional approaches based on manual curation fall short due ... -
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 ... -
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 ... -
Curriculum Learning for Robot Navigation in Dynamic Environments with Uncertainties
(Fen Bilimleri Enstitüsü, 2024)In our study we wanted to see if there is any way we can make the training process of a DRL agent much easier, and optimize the success rate in the given tasks. In order to increase the speed of convergence we adopted ... -
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, ...
RSS 1.0