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A Hybrid and Reliable Method Integrating Depth and Technical Analysis with Machine Learning Techniques for Predicting Stock Prices
(Fen Bilimleri Enstitüsü, 2019)
It is quite complicated and difficult to predict the price changes direction of stock, because of the price changes of stock are non-linear. Some statistical methods are used to estimate these price changes direction, but ...
Utilization of Local and Global Image Descriptors for Phishing Web Page Identifıcation
(Fen Bilimleri Enstitüsü, 2020)
In recent years, the use of the Internet has increased in all areas of life, thus many cyber- attacks have emerged. These attacks aim to steal users' private information such as passwords, credit cards. During phishing ...
An Enhanced Approach for Malware Detectıon By Utılızıng Computer Vısıon and Memory Forensıc
(Fen Bilimleri Enstitüsü, 2020)
The number of advanced malware, which have been released, has increased substantially
year after year with the increase in the use of information systems. Due to the ransomware
programs, which we have frequently heard ...
Large-Scale Arabic Sentiment Corpus And Lexicon Building For Concept-Based Sentiment Analysis Systems
(Fen Bilimleri Enstitüsü, 2018)
Within computer-based technologies, the usage of collected data and its size are
continuously on a rise. This continuously growing big data processing and
computational requirements introduce new challenges, especially ...
A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)
Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ...
Robust and Intelligent Control of Unmanned Aerial Vehicles
(Fen Bilimleri Enstitüsü, 2023-01-02)
Quadrotors from the family of unmanned aerial vehicles have an important place for human life, because over the last decade, they have been used in many areas both civilian and military applications, such as search, ...
Artificial Intelligence Applications in Early Diagnosis of Sepsis Disease
(Fen Bilimleri Enstitüsü, 2023)
Sepsis is a major cause of death in intensive care units worldwide. Early diagnosis and
treatment are crucial for improving patient survival and reducing organ dysfunction.
Combining sepsis research and computer science ...
A Computationally Efficient Heuristic Algorithm For Piecewise Linear Regression
(Fen Bilimleri Enstitüsü, 2023)
Regression analysis is a method used to model the relationship between the dependent variables and the independent variable in the data, and to predict the dependent variable from the independent variables in the future ...