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Titlebook: Artificial Intelligence and Robotics; 7th International Sy Shuo Yang,Huimin Lu Conference proceedings 2022 The Editor(s) (if applicable) an

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21#
發(fā)表于 2025-3-25 05:23:18 | 只看該作者
Research on Construction Technology of Graph Data Model,logy map for the intelligent operation and inspection of the distribution network. The research clearly and intuitively displays the specific information of the power system equipment and the physical relationship between the equipment, thus forming a data model of the grid diagram.
22#
發(fā)表于 2025-3-25 08:49:40 | 只看該作者
23#
發(fā)表于 2025-3-25 15:06:39 | 只看該作者
24#
發(fā)表于 2025-3-25 17:29:19 | 只看該作者
Intrusion Tolerance Quantitative Calculation for Energy Internet Data,al Nash equilibrium of both sides is obtained based on game theory. The analysis shows that the proposed data intrusion tolerance quantification and adaptive intru- sion response model can provide theoretical basis and support for active defense of energy Internet data security under network attacks.
25#
發(fā)表于 2025-3-25 21:35:21 | 只看該作者
26#
發(fā)表于 2025-3-26 04:13:37 | 只看該作者
Breast Ultrasound Tumor Detection Based on Active Learning and Deep Learning,umor for women. Therefore, its accuracy and efficiency are very important. To cover these challenges in mass breast screening and diagnosis, including varied ultrasound image quality from different equipments, expensive professional annotation, we propose a novel method based on active learning and
27#
發(fā)表于 2025-3-26 07:20:52 | 只看該作者
28#
發(fā)表于 2025-3-26 10:41:09 | 只看該作者
29#
發(fā)表于 2025-3-26 13:59:24 | 只看該作者
An Image Enhancement Method Based on Multi-scale Fusion,dopted to enhance coal mine underground image. Firstly, the improved homomorphic filtering and the contrast-limited adaptive histogram equalization are used respectively for the to obtain an underground image with uniform brightness and a contrast enhanced. Then, the enhanced image is obtained by mu
30#
發(fā)表于 2025-3-26 16:55:02 | 只看該作者
Research on Construction Technology of Graph Data Model,evelopment under the new situation. The current distribution network operation inspection still lacks in data collection, and it is impossible to establish an informative and intelligent operation inspection management system. The upper-level production management system is also unable to integrate
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