In a warehouse context, the goal of the research project is to prove the effectiveness of a fully automated, infrastructure-free guidance system for pallet transfer within warehouses. The means of transfer used is a f...
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As cities grow, handling traffic in big urban are-as becomes a huge proble-m. More cars on the road and not enough roads le-ad to heavy traffic jams. This increases trave-l time and harms our environment. Our study ta...
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In response to the challenges associated with detecting occluded and small targets in automatic driving scenarios, as well as the issues of low detection accuracy and a high miss rate caused by complex background inte...
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This paper explores the impact of temperature on photovoltaic (PV) cell performance, emphasizing the critical role of innovative teaching methods in engineering education. By integrating illustrative representations a...
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This paper presents the design and implementation of an intelligent car system based on Raspberry Pi CM4, focusing on the camera module in the intelligent car. The camera module incorporates functionalities such as ca...
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Foreign body detection technology is directly related to the safety of wireless charging systems. Therefore, this essay analyzes the domestic and international research status of foreign body detection technology of r...
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作者：
Porta, MarcoUniversity of Pavia
Dept. of Electrical Computer and Biomedical Engineering Via A. Ferrata 5 Pavia27100 Italy
Finding defects during production is crucial in industrial manufacturing. While various detection methods exist, this paper proposes a short review on techniques based on visual saliency. Saliency approaches try to mi...
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In the automation and robotics industry, there is an increasing interest in the magnetization properties of intelligent materials, such as magnetorheological fluids (MR fluids). The article discusses the method of obt...
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As cloud services grow, data deduplication has become crucial for reducing storage costs and improving resource utilization by eliminating duplicate data. However, maintaining data security and user privacy in dedupli...
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This research sheds light toward the use of Deep Reinforcement Learning (DRL) strategy to solve interoperability issues in disaster management systems. The overall performance of the proposed DRL-based framework is de...
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