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Bitumen polymer modification has a long history. However, most of the polymers currently used as additive in bitumen are not economically attractive. Thus, employing recycled materials in flexible highway instead of virgin ones has become a fundamental case …

With this work, automation levels of the railway systems will be described as explained in IEC 62290 standard, and then the relationship between these defined levels of Istanbul metro lines will be tried to be explained. In railway systems, the level of automa…

In landscape architecture profession using and designing equipment elements in a systematic way is as important as creating the space at least. There are some design criteria for equipment elements. When these are used in an accurate and convenient way favorab…

Touristic behavior is a modern behavior that develops against modern urban life. At the core of this behavior exists search and demand for diversity which is developed to the narrative for the people who are left behind. The increasingly bureaucratic and indus…

Metal foams are light cellular materials that are a natural inspiration. Wood, bone and sea sponges are some wellknown examples of such structures. Metallic foams offer excellent mechanical response combination with lightness, good thermal and sound insulation…

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

Nowadays, very large quantities of data are produced both individually and institutionally. These data must be preserved very well in order to be able to access and process them as needed. This situation necessitates data recovery services in possible disast…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

At the last two decades the information world and associated information technologies have been progressed. This progress can be implemented from the concept of the internet to the internet of things. The Internet of things (IoT) refers to billions of electron…

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …

There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…

Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…

Systems have their own specific objectives. These objectives can be listed as; high efficiency, efficiency, profit maximization, cost minimization, customer satisfaction, growth and respectability. To measure whether the system has achieved its goals, it is ne…

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

Data Envelopment Analysis (DEA) is a non-parametric mathematical programming that uses multi inputs to produce multi outputs. It is investigated whether the decision making unit is effective or not. However, it has been debated for years that the results obtai…

Today, with the widespread use of communication technologies, the need for securing the information has increased. This study has been conducted to contribute to the security of information by taking advantage of two important areas of security, such as crypto…

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…