Browsing Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı Tez Koleksiyonu by Type "doctoralThesis"
Now showing items 1-9 of 9
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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 ... -
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 ... -
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 ... -
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 ... -
Nighttime fire detection from video
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)With the recent advancements in the field of Computer Vision, the central tasks such as object detection, segmentation or object tracking methods attain all-time high accuracies in natural image sets such as ImageNet, COCO, ... -
NON-SMALL CELL LUNG CANCER TUMOR CHARACTERISATION USING DEEP LEARNING
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)Non-small cell lung cancer (NSCLC) constitutes the vast majority of lung cancers and has two major subtypes, adenocarcinoma (ADC) and squamous cell carcinoma (SqCC). Generally, these two subtypes are distinguished from ... -
A reliable and secure communication design for underwater sensor networks concerning energy efficiency
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Underwater Acoustic Sensor Networks (UASNs) recently attract scientists because of its wide range of applications and emerging technology. A design challenge in UASN's is the limited network lifetime and poor reliability ...
