• 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 ...

• Determination of probiotic properties of lactic acid bacteria isolated from traditional food products 

  Yiğit, Mehmet Burak (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)

  Probiotics are microorganisms that live in our bodies and positively affect health when consumed regularly. One of the ways to have a healthy body is to have a healthy microbiota. Because of that, the importance given ...

• Evolution of urban green through social interaction 

  Atılgan, Aslıhan (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)

  Urban green spaces, which are vital venues for social interaction, have altered substantially over time, from antiquity to the present-day. Contemporary urban green spaces are intended as full and flexible locations ...

• Investigation and improvement of the smooth mode transition technique for quasi-single-stage four-switch buck-boost inverter 

  Keskinkılıç, Ebubekir (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)

  In recent decades, given the world's inevitable energy scarcity, increasing energy demand and green energy concerns, high efficiency energy conversion has become more important and attractive than ever, and researchers ...

• Heuristic vectorized learning method based PV forecasting by using image recognition-based sky camera integration within sensor set 

  Yavuz, Levent (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)

  In order to ensure the continuity of demand and production balance, the use of renewable energy resources (RES) by countries will increase in the near future. Solar power generation is important for the integration of ...

• OPTICAL SCATTERING BASED RANDOM FOREST ASSISTED PARTICLE DETECTION AND CLASSIFICATION 

  Genç, Sinan (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 ...

• Histopathology image classification: highlighting the gap between manual analysis and AI automation 

  Doğan, Refika Sultan; Yılmaz, Bülent (FRONTIERS MEDIA SA, 2023)

  The field of histopathological image analysis has evolved significantly with the advent of digital pathology, leading to the development of automated models capable of classifying tissues and structures within diverse ...

• Developing high brightness quantum dot led devices 

  Biçer, Ayşenur (Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)

  Optoelectronic devices are essential components of optical communication systems, internet and displays. Among these devices, in the category of light emitting diodes (LED), there are quantum dot LEDs (QLED) that emit ...

• Skin cancer detection and classification from dermatoscopic images using deep learning methods 

  Kalaycı, Serdar (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. ...

• Influence of 3D bioprinting parameters on printability and mechanical behavior of the PCL scaffolds 

  Saniye Aylin, Ceylan (Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)

  Polycaprolactone (PCL) is a synthetic polymer that exhibits desirable properties such as biodegradability, tolerable mechanical properties, and biocompatibility for a diverse range of tissue engineering applications. In ...

• Preparation and characterization of UV crosslinked alginate-based tannic acid-reinforced hydrogels 

  Demirci, Enes Hamdi (Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)

  Alginate is a commonly used biopolymer in bioprinting applications. However, alginate-based bioinks have some mechanical limitations for printing purposes. Also, existing methacrylation methods are time consuming and have ...

• BBSome regulates ARL13B-dependent joint elongation of two distinct cilia in Caenorhabditis elegans 

  Turan, Merve Gül (Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü, 2023)

  Cilia or flagella are interchangeably used to refer to the hair-like organelles extending from the cell surface to communicate with environmental signals or triggers. Cilium, the singular form of cilia, and its components ...

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