In this paper, we investigate the security issues of adaptive cruise control (ACC) systems for autonomous vehicles. Different from the research on cyber-layer security, we focus on cyber-physical system (CPS) security...
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During the COVID-19 period, education has been required to reform and adapt to a modern, imposed paradigm in which all of its activities must be delivered in a completely digital format. As a result, in light of this ...
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Open-Domain Question Answering (ODQA) aims to answer questions without explicitly providing specific background documents. This task becomes notably challenging in a zero-shot setting where no data is available to tra...
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Blockchain technology is being successfully applied in the cultural sector to enable the lawful distribution of works. This paper studies copyright related issues regarding the two basic characteristics of the specifi...
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Heterosubstrates have been extensively studied as a method to improve the heat dissipation of Ga2O3 devices. In this simulation work, we propose a novel role for p-type available heterosubstrates, as a component of a ...
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Image detection plays a vital role in digital image processing and artificial intelligence, with applications ranging from security surveillance to autonomous vehicles and medical image analysis. This study employs a ...
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ISBN:
(数字)9798331517601
ISBN:
(纸本)9798331517618
Image detection plays a vital role in digital image processing and artificial intelligence, with applications ranging from security surveillance to autonomous vehicles and medical image analysis. This study employs a qualitative approach to review the performance of image detection algorithms, focusing on deep learning methods such as YOLO, SSD, and CNN. Through computational experiments using quantitative data, this research provides performance comparisons based on accuracy, precision, recall, and computational efficiency. The results highlight YOLO’s superior performance in terms of both accuracy ($\mathbf{9 2} .5 \%$) and inference speed (75.2 fps), making it suitable for real-time applications. This study contributes by addressing the gap in balancing computational efficiency and adaptability for real-world applications.
Traditional learning methods frequently fail to provoke students' interest, stimulate their enjoyment and encourage them to participate in learning activities, resulting in discomfort, distractions, and disengagem...
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In urban areas of Japan, such as Tokyo, overcrowding in condominiums and office buildings leaves limited flat land for installing solar panels, resulting in inadequate installation of renewable energy. To advance phot...
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Task offloading is of paramount importance to efficiently orchestrate vehicular wireless networks, necessitating the availability of information regarding the current network status and computational resources. Howeve...
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Integrated access and backhaul (IAB) network is envisioned as a novel network architecture for increasing the network capacity and coverage. To facilitate the IAB network, the appropriate methods of wireless link asso...
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