Konu "Derin Öğrenme" için listeleme
Toplam kayıt 7, listelenen: 1-7
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Deep learning models for traffic volume prediction
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become troublesome. As a result, traffic flow prediction started to attract attention as an important research ... -
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 deep learning models for protein structure prediction
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)The three-dimensional structure of a protein provides important clues about the function of that protein. Although there have been many studies on protein structure prediction, the problem has still not been solved completely. ... -
Image processing based analysis and quantification of micro biomaterials and cells for biochip
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Quantification of tumor cells is essential for early cancer detection and progression tracking. Multiple techniques have been devised to detect tumor cells. In addition to conventional laboratory instruments, several ... -
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 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 ... -
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. ...
