爆裂 发表于 2025-3-21 17:12:26

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agnostic 发表于 2025-3-21 23:47:57

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热烈的欢迎 发表于 2025-3-22 01:00:12

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Perennial长期的 发表于 2025-3-22 05:21:41

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贝雷帽 发表于 2025-3-22 10:01:18

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Spinal-Tap 发表于 2025-3-22 14:03:43

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Spinal-Tap 发表于 2025-3-22 19:30:43

https://doi.org/10.1007/978-1-4615-5581-0 Therefore, in this paper, we propose a vision-based framework that is able to detect obstacles during the night, when the train circulation is usually suspended, using RGB or thermal images. Acquisition cameras and external light sources are placed in the frontal part of a rail drone and a new data

essential-fats 发表于 2025-3-22 22:21:45

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fabricate 发表于 2025-3-23 01:49:06

https://doi.org/10.1007/978-3-319-71976-4continuous condition monitoring produces huge amounts of data, which require appropriate processing strategies. Deep learning has become a promising tool in analyzing large volumes of sensory data. In this work, we demonstrate the potential of artificial intelligence to analyze railway track defects

SLING 发表于 2025-3-23 09:20:45

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查看完整版本: Titlebook: Dependable Computing - EDCC 2020 Workshops; AI4RAILS, DREAMS, DS Simona Bernardi,Valeria Vittorini,Paolo Masci Conference proceedings 2020