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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…

Any modern information system in its architecture implies the need to provide multilevel access to data. Existing mechanisms of customer interaction are oriented to users working with desktop computers and it is quite inconvenient to distribute mobile devices.…

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…

The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …

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…

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…

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

Universities play a key role in the cultural and economic development of countries. It also provides necessary and useful information to the community. Industry university collaborations are essential for the emergence and diffusion of innovations. For these r…

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…

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…

The effects of climate change in the world are observed to have significant effects on different environmental variables. Therefore, changes in climate parameters should be examined and analyzed. These changes can be determined by parametric and non-parametr…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…