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Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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樓主: 變成小松鼠
51#
發(fā)表于 2025-3-30 11:12:20 | 只看該作者
52#
發(fā)表于 2025-3-30 15:27:21 | 只看該作者
53#
發(fā)表于 2025-3-30 18:23:26 | 只看該作者
54#
發(fā)表于 2025-3-31 00:43:41 | 只看該作者
An Efficient Enhanced-YOLOv5 Algorithm for?Multi-scale Ship Detectionle is established which increases the feedback contribution of gradient by adjusting the first polynomial coefficient vertically, and improves the detection performance of the model on few sample ship objects. Extensive experimental results confirm the effectiveness of the proposed method.
55#
發(fā)表于 2025-3-31 02:56:30 | 只看該作者
strate the approach with two use cases. We show that by using address space layout randomization - a widespread technique to prevent malicious attacks - it is possible to detect memory-related software bugs during runtime. Additionally, we illustrate the idea of adaptive dynamic software diversity b
56#
發(fā)表于 2025-3-31 06:13:46 | 只看該作者
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發(fā)表于 2025-3-31 16:23:16 | 只看該作者
Peng Han,Zhiming Chen,Fei Jiang,Jiaxin Si The proposed approach and tool are designed to support lifelong monitoring of multi-embedded-agent systems. In such systems, agents have self-organization behaviors resulting in complex and ever adapting systems, which are challenging to test and monitor.
59#
發(fā)表于 2025-3-31 21:01:33 | 只看該作者
60#
發(fā)表于 2025-3-31 22:31:53 | 只看該作者
Wen Li,Yi Xie,Hailan Jiang,Yuqing Sun The proposed approach and tool are designed to support lifelong monitoring of multi-embedded-agent systems. In such systems, agents have self-organization behaviors resulting in complex and ever adapting systems, which are challenging to test and monitor.
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