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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…

Günümüzde yapay zekâ uygulamaları ile nesne tespiti birçok alanda kullanılmaktadır. Yapay zekâ ile görüntü işleme teknolojisinin ve veri setlerinin gelişmesiyle birlikte birçok matematiksel model ve algoritma nesne tespitinde kullanılmaktadır. Yapay zekâ algor…

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 challenged by limited annot…

Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…

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 human factors, have seve…

Mimari mirasın korunması ve geleceğe aktarılması, kültürlerin ve bu mirasın devamlılığı için büyük önem taşımaktadır. Bu yapıların korunması ve bakımlarının sağlanabilmesi, yapı elemanlarının detaylı analizlerinin ve envanterlerinin çıkarılması ile mümkündür. …

Bu araştırma günümüzde gelişen teknoloji ile mimarlık alanında farklı yöntemlerin kullanılabildiğini ifade eden bir tespit yöntemini araştırmaktadır. Bu bağlamda günümüzdeki önemli teknolojik gelişmelerden biri olan derin öğrenme algoritmaları mimarlık için ol…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

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 dust obscuration, varyi…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…