inflate
发表于 2025-3-25 05:12:28
Conference proceedings 2024and engine; data security and privacy; big data mining and knowledge management...Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis..
compassion
发表于 2025-3-25 10:10:29
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懒鬼才会衰弱
发表于 2025-3-25 12:03:50
Die Dreiermenge von Georg Cantor,ing, and then tested in a test set. Experimental results with relatively few model parameters show that our proposed method has good detection performance, while the model requires less storage space and has low computational overhead, making it suitable for network traffic detection and classification under edge networks.
gangrene
发表于 2025-3-25 19:28:26
https://doi.org/10.1007/978-3-642-52575-9and using the adaptive mechanism to fuse these features, we aim to improve the accuracy of network performance evaluation. Furthermore, our extensive experiments have shown that TrafficNet can improve the Mean Squared Error(MSE) by 58.3% compared with the SOTA models.
Kidnap
发表于 2025-3-25 22:14:29
https://doi.org/10.1007/978-3-322-93533-5n addition, we put forward the Target Category Learner (TCL) module to simulate human questioning thinking, and apply a penalty mechanism to reduce repetition. Experimental results on the GuessWhat?! dataset show QIRE’s competitiveness in question quality and dialog effectiveness compared to existing methods.
Pageant
发表于 2025-3-26 02:27:31
https://doi.org/10.1007/978-3-642-90899-6formation in videos, resulting in more precise prediction and analysis. The experimental results show that our multimodal variable-channel spatial-temporal semantic action recognition network achieves 98.3% and 89.9% accuracy in classifying actions on the large-scale human activity datasets NTU-RGB+D 60 and NTU-RGB+D 120 respectively.
rods366
发表于 2025-3-26 08:03:51
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Indict
发表于 2025-3-26 12:19:14
A Lightweight Edge Network Intrusion Detection System Based on MobileViting, and then tested in a test set. Experimental results with relatively few model parameters show that our proposed method has good detection performance, while the model requires less storage space and has low computational overhead, making it suitable for network traffic detection and classification under edge networks.
缓解
发表于 2025-3-26 15:05:23
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libertine
发表于 2025-3-26 18:59:27
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