grudging 发表于 2025-3-28 16:29:14
http://reply.papertrans.cn/31/3048/304719/304719_41.pnglinear 发表于 2025-3-28 22:14:09
http://reply.papertrans.cn/31/3048/304719/304719_42.pngCamouflage 发表于 2025-3-28 23:56:10
http://reply.papertrans.cn/31/3048/304719/304719_43.png石墨 发表于 2025-3-29 05:57:45
http://reply.papertrans.cn/31/3048/304719/304719_44.pngLegend 发表于 2025-3-29 08:34:41
http://reply.papertrans.cn/31/3048/304719/304719_45.png冒号 发表于 2025-3-29 12:59:58
Compensation Capacitor Status Monitoring Research Based on Feature Fusion and SVM,calculated and combined into a new feature vector. Finally, it is input into a trained multi-class SVM model for state monitoring. The experimental results show that the accuracy of compensating capacitor state monitoring is improved to 91% for a single decomposed feature after fusion.anachronistic 发表于 2025-3-29 16:55:38
http://reply.papertrans.cn/31/3048/304719/304719_47.png供过于求 发表于 2025-3-29 20:44:39
http://reply.papertrans.cn/31/3048/304719/304719_48.png声明 发表于 2025-3-30 01:39:46
http://reply.papertrans.cn/31/3048/304719/304719_49.pngpoliosis 发表于 2025-3-30 04:34:07
Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network tasks. However, these methods are usually computationally expensive, which constrains their application in mobile scenarios. In addition, most of the existing methods rarely take full advantage of the intermediate features which are helpful for restoration. To address these issues, we propose a mod