A new study reports a ViT-YOLOv8 framework for smoke and fire detection, achieving 98.5% precision and improving early ...
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 ...
Nearly 6 in 10 Americans disapprove of the US decision to take military action in Iran, as most say a long-term military conflict between the two nations is likely, according to a new CNN poll ...
With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...
Abstract: Millimeter wave (mmWave) radar is widely used in both civilian and defense applications, especially in autonomous vehicles (AVs), due to its resilience in adverse weather and its capability ...
Abstract: Wild forest fires pose a significant threat to ecosystems, causing habitat destruction, biodiversity loss, and severe air pollution. The rapid spread of uncontrolled fires leads to ...
Abstract: In edge computing systems with limited resources, such as mobile devices and the Internet of Things, the use of Convolutional Neural Network (CNN) accelerators on FPGA has increasingly ...
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