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Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challen…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, …

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approx…

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and…

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 frequen…

Dünya Mutluluk Endeksi, ülkelerdeki bireylerin algılarını sunan ve ülkelerin kıyas edilmesine katkı sağlayan bir endekstir. Bu çalışmada, Dünya Mutluluk Endeksi verileri ile enflasyon göstergeleri birleştirilerek oluşturulan bir veri kümesi…

Öneri sistemleri, kullanıcıların tercihlerine dayalı olarak kişisel ve memnuniyetin ön planda olduğu öneriler sunmayı amaçlamaktadır. Ancak her ne kadar amaç doğrultusunda hareket edilmeye çalışılsa da, önerilerde popüler yanlılığı problemi…

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 …

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…

This study aims to examine the feasibility and impact of conducting laboratory experiments, a fundamental component of electrical and electronics engineering education, on a virtual reality (VR)-based platform. The innovative platform, name…

Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant cha…

Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it i…

Laboratuvar derslerinde öğrenci performansını etkileyen parametrelerden biri devrede kullanılan elemanların sağlam olup olmadığıdır. Devrede kullanılan elemanların işlevini yerine getiremez durumda olması öğrencilerin performans çıktılarını…

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recu…

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data avai…

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, automa…

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or huma…

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dus…

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 tweet…

Birey-toplum-devlet ilişkilerinde meydana gelen dönüşümlerle birlikte, vatandaşların bireysel ve kolektif olarak karar alma süreçlerine katılımı pek çok alanda artmıştır. Kentsel planlamada karar alma süreçlerine sivil toplumun aktif katılı…