Başlık için Enstitüler listeleme
Toplam kayıt 189, listelenen: 125-144
-
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 ... -
Modelling and investigation of boron-based nanostructures
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Polyhedral boron clusters and their applications have been subject to research in many fields such as medicine, materials science, catalytic applications, energy studies, etc. These molecules owe their popularity to their ... -
Modelling and investigations of amorphous materials
(Abdullah Gül Üniversitesi, 2019)The aim of this PhD dissertation is to investigate the behavior of different MOFs under hydrostatic and uniaxial stresses by using ab-inito molecular dynamics simulations (AIMD). The results obtained from computations are ... -
MODULAR DESIGN APPROACH OF MASTER SİNAN'S SINGLE-DOMED PROVINCIAL MOSQUES
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)As there have been several researches on Master Sinan and his mosque architecture, there could be some more innovative interests and potentials on them, spatial configuration in particular. It cannot also be defined clearly ... -
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 ... -
Movie Recommendation Systems Based on Collaborative Filtering: A Case Study on Netflix
(Erciyes Üniversitesi, 2021)User ratings on items like movies, songs, and shopping products are used by Recommendation Systems (RS) to predict user preferences for items that have not been rated. RS has been utilized to give suggestions to users ... -
Nanoparticle reinforced hybrid composite material production process optimization / Nano-parçacık takviyeli hibrit kompozit üretimi için reçine geçişli kalıplama prosesi optimizasyonu
(Abdullah Gül Üniversitesi, 2017)Composite materials have increasing application areas in today's industry and daily life due to their low density structure and high mechanical properties. Also, thermalstability and electrical conductivity can be improved ... -
Navigating BIST100 investments through symbolic aggregateapproximation clustering: Insights for investors / Sembolik toplam yaklaşım kümelemesi yoluyla BIST100 yatırımlarında yön bulma
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Market stakeholders, including traders and investors, strive to forecast stock market returns for informed decision-making. Computational finance employs various tools such as machine learning techniques to analyse ... -
Next generation sequencing of a novel Loigolactobacillus coryniformis FOL-19 isolated from cheese and comparative genomic analysis with other L. coryniformis strains
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Loigolactobacillus coryniformis is a member of lactic acid bacteria isolated from various ecological niches. We isolated a novel L. coryniformis strain FOL-19 from artisanal Tulum cheese and performed the whole-genome ... -
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 novel approach based on bagging and boosting for imbalanced classification problems
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Classification algorithms are employed in a wide range of real-world problems such as obstacle detection, fraud detection, medical diagnosis, spam detection, speech recognition, image processing, intrusion detection, and ... -
Novel semiconducting materials for high-performance organic transistors and solar cells
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)In the first chapter, we review the historical and recent advances in the design and implementation of indenofluorene (IF)-based semiconductors in organic transistor and solar cell devices. In the second chapter, a series ... -
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 ...
