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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 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…

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…

Özet – Bu çalışmada CNC tezgahlardan MT Connect standardında oluşturulan, tezgah çalışma verileri alınıp kullanılarak duruş ve çalışma analizi yapılması hedeflenmiştir. Günümüzde CNC bazında üretim planlaması yapmak imalat fabrikalarının en önemli sorunlarında…

Correct orientation of students during education is very crucial for preventing future failures. Students who cannot graduate at the time may cause negative impacts on the family and the country's economy as well as the decrease of the young labor force. This …

Multiple imputation (MI) is increasingly being used as a sophisticated tool to handle missing data in the recent years. The standard MI techniques use Bayesian sampling methods for making posterior draws for the imputations and analyse the imputed data sets un…

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

Teknoloji günümüzde her alanda kullanılmaktadır. İnsansız Hava Araçlarının da çeşitli sektörlerde (İHA) kullanımı gün geçtikçe artmaktadır. İlk zamanlarda askeri amaçlar için kullanılan İHA teknolojisi, günümüzde jeodezi, tarım, meteroloji, iletişim, acil du…