Başlık için Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı Tez Koleksiyonu listeleme
Toplam kayıt 83, listelenen: 51-70
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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 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 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 ... -
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 ... -
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 ... -
OPTICAL SCATTERING BASED RANDOM FOREST ASSISTED PARTICLE DETECTION AND CLASSIFICATION
(Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)Microplastics, tiny plastic particles with sizes smaller than 5 mm., are often found in oceans, rivers, lakes, and atmosphere due to plastic pollution. Microplastics releasing toxic chemicals threaten the environment and ... -
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 ... -
Perception estimation and torque control for hand prostheses using EEG and EMG signals
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Upper extremity prostheses vary based on patients' articulation levels and movement methods. They can be cosmetic, operate mechanically with shoulder movement, or be controlled by myoelectronic and electroencephalography ... -
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 ...
