Konu "Machine Learning" için listeleme
Toplam kayıt 30, listelenen: 1-20
-
Advancing machine learning analysis of non-coding RNA: A novel approach of negative sequence generation
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Many supervised machine learning models have been developed for the classification and identification of non-coding RNA (ncRNA) sequences. These models play a significant role in the diagnosis and treatment of various ... -
Analysing network traffic and detecting network threats by using the algorithms of machine learning
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)As information technologies progress, the possibilities of access to information increase and therefore it becomes difficult to ensure the security of information. Today, with the use of information systems in all areas ... -
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 ... -
A Comparative Analysis of Passenger Flow Forecasting in Trams Using Machine Learning Algorithms
(Bitlis Eren Üniversitesi, 2024)Forecasting tram passenger flow is an important part of the intelligent transportation system since it helps with resource allocation, network design, and frequency setting. Due to varying destinations and departure times, ... -
Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
(IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Protein yapı tahmininin en önemli aşamalarından biri ise ikincil yapı tahminidir. Protein veritabanlarındaki ... -
Credit Card Fraud Detection with Machine Learning Methods
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)With the increase in credit card usage of people, the credit card transactions increase dramatically. It is difficult to identify fraudulent transactions among the vast amount of credit card transactions. Although credit ... -
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
(Association for Computing Machinery, 2021)Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ... -
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, ... -
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 ... -
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 A LABEL PROPAGATION APPROACH FOR CANCER SUBTYPE IDENTIFICATION PROBLEM
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)Kanser terimi, anormal hücrelerin kontrolden çıkıp diğer dokuları istila ettiği hastalıkları tanımlamak için kullanılır. Çok sayıda kanser türü vardır ve birçok kanser türü, farklı klinik ve biyolojik etkileri olan çeşitli ... -
Developing machine learning methods for business intelligence
(Abdullah Gül Üniversitesi, 2018)Detection of key attributes in text is an area of research, which attracts attention due to the increase of data and the availability of massive documents. Key attributes serve as metadata for documents and the discovery ... -
Developing machine learning methods for network anomaly detection
(Abdullah Gül Üniversitesi, 2018)Machine learning refers to training of a computer (machine) to be able to acquire knowledge from data (i.e. experience) and improve itself on a given task. The field of machine learning has become a mainstream, improving ... -
Development of a machine learning-based system to identify disease biomarkers from human gut microbiota
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)The human gut microbiota consists of a diverse ecosystem of organisms, encompasses billions of species. Recently developed next-generation sequencing methods have enabled researchers to examine the microbiota in greater ... -
DEVELOPMENT OF DATA MINING METHODOLOGIES AND MACHINE LEARNING MODELS TO UNDERSTAND CARDIOVASCULAR DISEASE MECHANISMS
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)World Health Organization (WHO) reported that in 2016, 31% (17.9 million) of the total deaths in the world were caused by Coronary Artery Disease (CAD) and it is estimated that around 23.6 million people will die from ... -
Enhancing grouping-scoring-modeling (G-S-M) approach through a statistical pre-scoring component: A case study for high-dimensional transcriptomic data analysis
(Abdullah Gül Üniversitesi / Sosyal Bilimler Enstitüsü, 2024)Rapid advancements in transcriptomic technologies have significantly increased the volume of data available for analysis, which presents challenges in terms of efficiency and computational demand. This thesis introduces a ... -
Ensemble Churn Prediction for Internet Service Provider with Machine Learning Techniques
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)With the developing technology in every fields, a competitive marketing environment has been arised In this competitive environment analyzing customer behavior has become vital In particular, the ability to easily change ... -
An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis
(IEEE, 2020)Koroner Arter Hastalığı (KAH), arterlerin duvarlarında aterom denilen yağlı madde birikiminin bir sonucu olarak kalbin yeterince beslenememesi durumudur. KAH, 2016 yılında dünyadaki toplam ölümlerin %31'ine (17,9 milyon) ... -
A Hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach for Professional Bloggers Classification
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Despite their small numbers, some users of the online social networks demonstrate the ability to influence others. Bloggers are one of such kind of users that through their ideas and opinions on different topics, influence ... -
Hydroponic Agriculture with Machine Learning and Deep Learning Methods
(Gazi Mühendislik, 2023)In the face of the rapidly increasing population of our world today, researchers have turned to studies that use existing resources more effectively and efficiently in addition to searching for new resources in order to ...
