Başlık için Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı Tez Koleksiyonu listeleme
Toplam kayıt 61, listelenen: 38-57
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Low dose CT imaging for cancer diagnosis and therapy
(Abdullah Gül Üniversitesi, 2018)Cancer is a common disease among human population and second leading cause of death. It is well known that diagnosing cancer at early stages is very critical for increasing success of therapy. There have been different ... -
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 BASED INTEGRATION OF miRNA AND mRNA PROFILES COMBINED WITH FEATURE GROUPING AND RANKING
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)It is very important to understand the development and progression mechanisms of the diseases at the molecular level. Revealing the functional mechanisms that cause the disease not only contributes to the molecular ... -
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 ... -
Molecular recognition of protein-ligand complexes via convolutional neural networks
(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2022)As a sub-discipline of Artificial Intelligence, deep neural networks have received enormous interest in research and industrial applications over the last decades owing to their highly successful performance in addressing ... -
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 ... -
OPTIMIZING CLASSIFIERS FOR PROTEIN SECONDARY STRUCTURE PREDICTION
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)Protein secondary structure prediction is important for understanding protein structure and function. PSSP can be seen as a bridge between amino acid sequence and 3D structure of a protein. Many methods have been performed ... -
PERFORMANCE ANALYSIS OF UNDERWATER COMMUNICATION WITH DIFFERENT MODULATION TECHNIQUES
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)There is an increasing interest in using Underwater Acoustic Sensor Networks (UASNs) for various oceanographic applications, such as pollution monitoring, seismic monitoring, environmental data collection, offshore ... -
PERFORMANCE EVALUATIONS OF SINGLE MODE OPTICAL RECEIVER FOR DEGRADED VISUAL FIELD AND PHOTONIC LANTERN BASED COHERENT DETECTION
(Abdullah Gül Üniversitesi, 2016)Imaging at degraded visual environments is one of the biggest challenges in today’s imaging technologies. Especially military and commercial rotary wing aviation is suffering from impaired visual field in sandy, dusty, ... -
Phase noise filtering effects of mode-locked lasers
(Abdullah Gül Üniversitesi, 2018)The subject of Mode-Locked Lasers has experienced a massive growth over the last two decades. Previously meant as the source of ultra-short optical pulses, its concepts have recently expanded to be applicable in areas ... -
Photometric modelling for efficient lighting and display technologies
(Abdullah Gül Üniversitesi, 2016)Using light emitting diodes (LEDs) as lighting devices has come to the sight as a compulsory step in terms of the energy efficiency. Almost a quarter of total consumed energy that generated whole around the world is used ... -
Protein fragment selection using machine learning
(Abdullah Gül Üniversitesi, 2018)Protein fragment selection is an important step in predicting the three-dimensional (3D) structure of proteins. Selecting the right fragments contributes significantly to accurate prediction of 3D structure. In this thesis, ... -
QOS-AWARE DOWNLINK SCHEDULING ALGORITHM FOR LTE NETWORKS: A CASE STUDY ON EDGE USERS
(Abdullah Gül Üniversitesi, 2016)4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high internet speeds. It makes use of the OFDM technology to offer high speed, which supplies ... -
RECOMMENDER SYSTEM FOR EMPLOYEE ATTRITION PREDICTION AND MOVIE SUGGESTION
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)In this thesis, we focus on two problems raised in Machine Learning Community, namely, the recommender system and employee attrition problem. The recommender system is an information filtering system that predicts whether ... -
RELATIVE LOCALIZATION AND COORDINATION FOR AIR-GROUND ROBOT TEAMS
(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2021)Recently, autonomous robot teams have been implemented broadly in many social and military applications such as firefighting, agriculture, search and rescue, mapping, target tracking, and docking. A mix of different types ... -
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 ... -
Respiration monitoring using a flexible paper-based capacitive sensor
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Respiration is an action known to be essential and crucial for life. Unfortunately, in some cases such as illnesses and accidents various respiratory problems can be experienced. It might be difficult to maintain normal ... -
Skin cancer detection and classification from dermatoscopic images using deep learning methods
(Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)Early detection of skin cancer is crucial for successful treatment and improved patient outcomes. The most prevalent form of cancer is skin cancer and if left undetected, it can spread and become more difficult to treat. ... -
Sliding mode and PID based tracking control of magnetic levitation plant and hil tests
(Abdullah Gül Üniversitesi, 2016)Magnetic levitation systems are convenient to provide frictionless, reliable, fast and economical operations in wide-range applications. The effectiveness and applicability of these systems require precise feedback control ...