Mühendislik Fakültesi
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Water Surface Extraction From Single-Date Sentinel-2 Imagery Using Object-Based Random Forest Classification
(Fen Bilimleri Enstitüsü, 2025)Inland water bodies are among the most important natural resources on Earth due to their ecological, economic, and social importance, supporting life, agriculture, biodiversity, and disaster management. Monitoring and ... -
Mechanical Performance Analysis of 3D Printed Hierarchical Honeycomb Structures in Aerospace Applications
(Fen Bilimleri Enstitüsü, 2025-01-08)Businesses have made significant progress in production methods by investing in technology in order to reduce costs and increase efficiency. These progresses are especially notable with additive manufacturing, which has a ... -
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 ... -
Sakız Ağacı Dikimi için Uygun Alanların Coğrafi Bilgi Teknolojileri ile Belirlenmesi: Çeşme Örneği
(Fen Bilimleri Enstitüsü, 2025)With the growing population, the effective use of resources has become increasingly important, making the implementation of accurate policies essential for urban studies. This study aims to present an open-source, reproducible, ... -
Data Drıven Optımızatıon OF Structural And Dynamıcal Propertıes Of Parts Manufactured Vıa Selectıve Laser Meltıng Process Usıng Machıne Larnıng And Fınıte Element Analysıs Methods
(Fen Bilimleri Enstitüsü, 2024)Selective Laser Melting (SLM) is a member of Powder Bed Fusion (PBF) process which is one of the most popular branches in metal Additive Manufacturing (AM) production technique. SLM have advantageous characteristics in ... -
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 ... -
Implementation of Construction and Demolition Wastes into Circular Economy Model
(Fen Bilimleri Enstitüsü, 2024)The construction industry faces significant challenges as its dependence on traditional materials and practices continues to exacerbate environmental and economic pressures. Ordinary Portland cement (OPC), a cornerstone ... -
Handling Boundary Uncertainty in Cadastre
(Fen Bilimleri Enstitüsü, 2024)Since humanity transitioned to a settled lifestyle, real property boundaries have been documented for various purposes, primarily to secure tenure rights. Cadastral workflows have also evolved in time to serve diverse goals ... -
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 ... -
Data-Driven H∞ Controller Synthesis of A Seeker-Integrated Inertially Stabilized Platform
(Fen Bilimleri Enstitüsü, 2025)In this thesis, a new method is proposed that allows the synthesis of controllers without the need for any parametric model of an inertially stabilized platform. It is a known fact that the stability and performance of ... -
Petrol-Gaz Sistemlerinde Minimum Karışabilirlik Basıncının Çeşitli Kimyasallar Kullanılarak Düşürülmesi ve Bir Çip-Üstü-Lab Sistemde İncelenmesi
(Fen Bilimleri Enstitüsü, 2024)Gas injection is a common method to increase the oil recovery in crude oil reservoirs. In this method, when the pressure is above Minimum Miscibility Pressure (MMP), miscible gas injection occurs and oil recoveries increase ... -
Fusion of Lidar and Image-Based Point Clouds From Uav and Smartphones For Cultural Heritage Modelling: A case Study of Ilyakut Mosque, Ankara
(Fen Bilimleri Enstitüsü, 2024)Cultural heritage encompasses the tangible and intangible aspects of our common human experience, including monuments, historical sites, artifacts, traditions, languages, rituals, music, literature and more. Modeling ... -
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 ... -
3D Kinematic Interaction Analysis of Piled Foundations in Clays of Different Stiffness
(Fen Bilimleri Enstitüsü, 2025-02)Nowadays, pile foundations are preferred for purposes such as eliminating bearing capacity problems or transferring loads to rock along with construction. Major dangers may arise due to the failure to control pile foundation ... -
Tufanbeyli (Adana) Linyit Madeni Faz 1 Sahasının Jeoistatistiksel Yöntemler Kullanılarak Kaynak Tahmini
(Fen Bilimleri Enstitüsü, 2025-01-30)EnerjiSA Energy Production A.S. Tufanbeyli Lignite Power Plant operated by Tufanbeyli is located between Taşpınar-Kayarcı Decile-Yamanlı villages in Adana (Tufanbeyli) and has a capacity of 450 MW. the power plant, ... -
Analysis of Structures with Seismic Rubber Base Isolators and Viscoelastic Damper Distribution in Areas of High Earthquake Hazard Risk
(Fen Bilimleri Enstitüsü, 2025)Earthquakes exert significant forces on structures, necessitating meticulous design to ensure resilience against these seismic forces. In regions with high seismic hazard risk, various techniques and materials have been ... -
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 ... -
Behaviour of Tunnels With Different Geometries Under Dynamic Loading Conditions
(Fen Bilimleri Enstitüsü, 2025)With the rapidly increasing population around the world, issues such as transportation and the use of underground spaces in urban areas have become increasingly significant. Tunnels are being used more and more for the ... -
Performance Comparison and Analysis of Noise Reduction Methods on GÖKTÜRK-2 Satellite Images
(Fen Bilimleri Enstitüsü, 2025-01-13)Optical satellite imagery represents a critical data source acquired from space, serving a multitude of application domains. However, these images often suffer from various types of noise that can significantly impair ...
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