• Machine learning approaches for internet of things based vehicle type classification and network anomaly detection 

  Kolukısa, Burak (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, ...

• Architecture for machines; production spaces in transition 

  Pekdemir Başeğmez, Merve (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

  The industry has experienced a new revolution. In this revolution defined as Industry 4.0, smart systems have started to be used in production. Thanks to smart production technologies, a new method has been created in which ...

• Analysing network traffic and detecting network threats by using the algorithms of machine learning 

  Küçükkoç, Abdurrahman (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 ...

• Machine learning methods for detecting genetic and infectious diseases 

  Işık, Yunus Emre (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 ...

• Developing a model for sustainability of rural heritage in transition: Case of Kayseri Bağpınar 

  Elagöz Timur, Bahar (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

  This thesis aims to develop a model for the resilience and sustainability of rural heritages against transition risks and contribute to rural heritage conservation by creating living heritage sites. Additionally, the thesis ...

• Deep learning models for traffic volume prediction 

  Çini, Nevin (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 ...

• The impact and development of the concept of modular architecture on housing design 

  Shahin, Nader Abou (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

  Modularity, deeply rooted in ancient art, architecture, and the natural world, has a rich historical legacy. This research endeavours to delineate a historical definition of modularity, objectively compile diverse perspectives ...

• Investigating the origin of the weekly cycle during the COVID-19 virus pandemic and its relation to socio-economic factors 

  Yağmur, İsmail Emre (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

  The Covid-19 virus, which started in China in 2019 and affected the whole world, has caused a global pandemic. Looking at the worldwide data of this pandemic, the number of daily cases appears to have a weekly cycle that ...

• Diagnosis of coronary artery disease with machine learning approaches 

  Halıcı, İkram (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

  The World Health Organization states that Coronary Artery Disease (CAD) ranks as a primary cause of recorded fatalities. CAD occurs as a result of the blockage of coronary artery vessels, which are located on the surface ...

• Addressing the Modern Regimes of Urban Spectacle: Revisiting the Ottoman General Exhibition of 1863 in Istanbul 

  Tozoglu, Ahmet Erdem (SAGE Publications Inc., 2022)

  One of the most spectacular events of the Ottoman experience of modernity was the inauguration of the Ottoman General Exposition in Istanbul in 1863. The ancient Hippodrome, which is one of the most prominent venues of the ...

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