Abstract: The rapid advancement of deep learning techniques has significantly improved the accuracy of medical image analysis, particularly in the detection and classification of leukemia. In this ...
Abstract: This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved from a ...
Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
Abstract: Ensuring reliable object detection in adverse conditions is paramount for safe autonomous driving. While cameras and LiDAR struggle in such scenarios, Frequency Modulated Continuous Wave ...
Abstract: Under the development of intelligent transportation systems, In-Vehicle Networks (IVNs) serve as a critical channel for both internal and external communications. However, the inherent ...
Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
Abstract: The unique imaging conditions of satellites introduce significant uncertainties in the structure and scale of ground objects, presenting a major challenge for optical remote sensing image ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
Abstract: Indonesia generated over 60 million tons of waste in 2024, with organic ($41.6 \%$) and plastic ($18.7 \%$) waste being the prevalent types. Low accuracy of existing automated detection ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
In the task of ship detection, convolutional neural networks (CNNs) based on deep learning have achieved remarkable progress. However, two-stage object detectors often overlook critical distinctions ...
Abstract: The detection of radioisotopes via the use of a plastic scintillation detector presents a substantial difficulty. This is mostly owing to the low cross-sections and poor spectrum resolution ...
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