venous-leak 发表于 2025-3-26 21:59:42
http://reply.papertrans.cn/17/1672/167151/167151_31.pngMediocre 发表于 2025-3-27 04:24:55
http://reply.papertrans.cn/17/1672/167151/167151_32.png愤慨一下 发表于 2025-3-27 06:48:07
Heutiger Stand der Totalprothesen der Hüfteh (BAS) algorithm. The experimental result shows that the average recognition accuracy of the method are 95.8% and 96.7% on CWRU and IMS datasets, which proves that our model can effectively extract the fault features and determine the rolling bearing fault types more accurately.meditation 发表于 2025-3-27 10:08:09
http://reply.papertrans.cn/17/1672/167151/167151_34.png推崇 发表于 2025-3-27 14:46:13
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRLtructures, and scaling-up doesn‘t always mirror potential. Additionally, limitations of LLMs are observed in C-arguments, etc. Lastly, we are surprised to discover that significant overlap in the errors is made by both LLMs and untrained humans, accounting for almost 30% of all errors.租约 发表于 2025-3-27 17:56:33
http://reply.papertrans.cn/17/1672/167151/167151_36.png抒情短诗 发表于 2025-3-27 23:25:21
IBAS-SVM Rolling Bearing Fault Diagnosis Method Based on Empirical Modal Characteristicsh (BAS) algorithm. The experimental result shows that the average recognition accuracy of the method are 95.8% and 96.7% on CWRU and IMS datasets, which proves that our model can effectively extract the fault features and determine the rolling bearing fault types more accurately.Instrumental 发表于 2025-3-28 04:48:17
http://reply.papertrans.cn/17/1672/167151/167151_38.png表状态 发表于 2025-3-28 07:56:31
http://reply.papertrans.cn/17/1672/167151/167151_39.png详细目录 发表于 2025-3-28 11:06:50
A Dynamic Collaborative Recommendation Method Based on Multimodal Fusiony capture in recommendation systems. To address this, we propose MBTRec, a multimodal recommendation model based on the Transformer encoder. It employs an innovative bidirectional tower-type attention mechanism (Bi Towernet) for modal fusion, ensuring the independent contribution of each modality wh