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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…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

İntihar konusu, birçok farklı disiplin tarafından incelenen ve tarihin her döneminde karşılaşılan bir konu olmuştur. Teknolojinin gelişimi ve akıllı telefonların her yerde bulunması sebebiyle, kullanıcılar, özellikle çevrimiçi sosyal platformlar aracılığıyla d…

Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…

Bu çalışma, transformatörlerde alçak gerilim (AG) tijlerinin kararmasına yol açan aşırı ısınma sorunlarını ve bu sorunların çözümünü ele almaktadır. Transformatörler, elektrik enerjisini alçak gerilimden yüksek gerilime veya tam tersine çevirerek, enerjinin uz…

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …

Maxwell denkleminin AV formülasyonu esas alınarak, zamana bağlı bir akım altında süperiletken telin elektromanyetik özelliklerini çözmek için yeni bir sayısal model geliştirilmiştir. Farklı akım genlikleri için alternatif akım (AA) kayıpları hesaplanmış ve iki…

The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…

Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel hareketlerine ek olarak…

3 + 1 Training Model have been developed in vocational high schools in Turkey in order to train the qualified personnel needed by the industry with the technology and knowledge of the day at the right time. In this training model, the students receive 3 semest…

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…

Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…

In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK) is widely used. The parame…

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

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…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

The estimation of the sediment yield for Coruh watersheds should be determined in order to calculate the lifespan of the dams that are being already build. In order to determine sediment yield, information regarding topographic situation, vegetation, climate, …