下垂 发表于 2025-3-25 05:54:17
Anthony Cartwrightmore by the emergency events. Furthermore, we derive the transmission delay formula based on the proposed algorithm. Finally, the algorithm is verified by the simulation of the transmission delay formula. The results show that the proposed emergency event driven routing algorithm can reduce the tran技术 发表于 2025-3-25 09:39:41
Wendy Crickardmore by the emergency events. Furthermore, we derive the transmission delay formula based on the proposed algorithm. Finally, the algorithm is verified by the simulation of the transmission delay formula. The results show that the proposed emergency event driven routing algorithm can reduce the tranProgesterone 发表于 2025-3-25 11:53:12
Sebastian Groes,Tom Mercermposed signals are combined by a joint optimization target of discriminative loss and multi-set canonical correlation loss, which is both discriminative and canonical correlated. Preliminary experiments show the proposed method improves seizure detection results in terms of accuracy and AUC.不适 发表于 2025-3-25 17:21:50
Kerry Hadley-Prycemposed signals are combined by a joint optimization target of discriminative loss and multi-set canonical correlation loss, which is both discriminative and canonical correlated. Preliminary experiments show the proposed method improves seizure detection results in terms of accuracy and AUC.ovation 发表于 2025-3-25 22:16:49
Narinder Dhamimance. The simulation results show that the four-phase-coded sequences have good autocorrelation and cross-correlation properties, and the radar-communication integrated signal of OFDM using these sequences has good detection performance, which can meet the practical requirements.GROUP 发表于 2025-3-26 00:35:53
http://reply.papertrans.cn/87/8692/869127/869127_26.png织布机 发表于 2025-3-26 07:10:06
http://reply.papertrans.cn/87/8692/869127/869127_27.pngcollateral 发表于 2025-3-26 08:48:21
R. M. Franciseaf image was in the appropriate segmentation feature range. After the clustering domain processing of the feature range in this paper, it solves the problem that the real edge of the leaf area information is too difficult to distinguish, and effectively solves the problem of complex image algorithmpenance 发表于 2025-3-26 15:14:52
R. M. Franciseaf image was in the appropriate segmentation feature range. After the clustering domain processing of the feature range in this paper, it solves the problem that the real edge of the leaf area information is too difficult to distinguish, and effectively solves the problem of complex image algorithm你正派 发表于 2025-3-26 19:54:00
http://reply.papertrans.cn/87/8692/869127/869127_30.png