Tür "doctoralThesis" Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı Tez Koleksiyonu için listeleme
Toplam kayıt 27, listelenen: 1-20
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Antimicrobial peptide activity prediction using machine learning methods
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ... -
Automated processing and classification of medical thermal images
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)The aim of this dissertation is to develop computer aided methods for processing and evaluating medical infrared thermal images. Throughout this study three problems were evaluated. The first problem was to automatically ... -
Blockchain based peer-to-peer energy trading applications
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)This thesis explores the potential of innovative peer-to-peer (P2P) energy trading schemes for virtual power plants (VPPs) using blockchain technologies, smart contracts, and decentralized finance (DeFi) instruments. ... -
Computer aided detection of cancer using histopathology images
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Detecting colon adenomatous polyps early is crucial for reducing colon cancer risk. This thesis investigated various deep learning approaches for computer-aided diagnosis of colon polyps on histopathology images using deep ... -
Decentralized electronic health record management system and disease prediction with machine learning methods
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Electronic health records (EHRs) are vital to the advancement of healthcare and can help detect and prevent diseases early. However, EHR sharing faces challenges such as managing large data volumes, ensuring data privacy, ... -
Deep learning models for traffic volume prediction
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become troublesome. As a result, traffic flow prediction started to attract attention as an important research ... -
Design and development of machine learning models for disease prediction and biomarkers detection
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)In medical science, the prediction of diseases and the identification of biomarkers play an important role in the diagnosis and treatment of various health conditions. The recent proliferation of data mining techniques has ... -
Design and implementation of nanophotonic architectures using smart-self assembly of colloidal nanomaterials
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)DNA-driven self-assembly techniques offer precise control over the positioning of colloidal nanoparticles through specific Watson–Crick interactions, and its reversibility via controlling the temperature of medium. This ... -
Detection and classification of flaws from ultrasonic tomography images of composite materials based on deep learning
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)This thesis introduces novel methodologies for enhancing defect classification and characterization in advanced composite materials by leveraging state-of-the-art machine learning (ML), deep learning (DL), and federated ... -
Developing deep learning models for protein structure prediction
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)The three-dimensional structure of a protein provides important clues about the function of that protein. Although there have been many studies on protein structure prediction, the problem has still not been solved completely. ... -
DEVELOPMENT OF CONTROL STRATEGIES IN SMART MICROGRIDS
(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2021)This thesis concerns the transformation of aged power systems to modern power systems that include microgrids with renewable energy sources and energy storage systems. The integration of renewable energy sources brings ... -
Early detection of forest fire from video utilizing temporal information
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Forest fires are considered as the major threats to lives, properties and to the integrity of the ecosystem around the world. In most cases, the fire damage can be reduced, when the initial signs of the fire are detected ... -
Heuristic vectorized learning method based PV forecasting by using image recognition-based sky camera integration within sensor set
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)In order to ensure the continuity of demand and production balance, the use of renewable energy resources (RES) by countries will increase in the near future. Solar power generation is important for the integration of ... -
High-energy cosmic and gamma radiation measurement with remote-controlled secondary emission ionization calorimetry modules
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)The demand for precise, robust, and reliable radiation-resistant particle detectors and ionization calorimeters intensifies, due to the escalating luminosity and unprecedented radiation conditions at particle colliders and ... -
Image processing based analysis and quantification of micro biomaterials and cells for biochip
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Quantification of tumor cells is essential for early cancer detection and progression tracking. Multiple techniques have been devised to detect tumor cells. In addition to conventional laboratory instruments, several ... -
Machine and deep learning based analysis of tumors on FDG-PET images
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Analysis of a tumor is essential in treatment planning and evaluation of treatment response. Positron Emission Tomography (PET) is a vital imaging device for clinical oncology in understanding the metabolic structure of ... -
Machine learning approaches for internet of things based vehicle type classification and network anomaly detection
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)This thesis presents innovative approaches in the realms of Intelligent Transportation Systems (ITS) and Network Intrusion Detection Systems (NIDS) within the Internet of Things (IoT). Leveraging IoT technologies, a low-cost, ... -
Machine learning based network anomaly detection
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Intelligent technologies have led to a significant rise in internet users and applications. However, this rise in internet usage has also brought serious security challenges. Organizations rely on Network Intrusion Detection ... -
Machine learning methods for detecting genetic and infectious diseases
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Completion of the whole human genome in the 2003 has led to various advances in many fields, particularly in biology, genetics, health sciences, treatment, and pharmacology. In the following years, spread of faster and ... -
MINING COLONOSCOPY IMAGES FOR ABNORMALITY DETECTION
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)Detection of colon abnormalities is one of the most challenging tasks for gastroenterologists. However, the frames or videos obtained during the procedure are exposed to significant amount of unwanted artifacts such as ...
