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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 9 Qilian Liang,Wei Wang,Baoju Zhang Conference proceedings 2021 The Edit

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发表于 2025-3-30 10:40:57 | 显示全部楼层
https://doi.org/10.1007/978-1-4471-3992-8n adversarial text-based CAPTCHAs based on spatial transformation. And we use four state-of-the-art CNN models to recognize such adversarial CAPTCHAs with and without preprocessing. Experiments show that this type of CAPTCHAs can effectively reduce the recognition rate of the attack models.
发表于 2025-3-30 14:48:17 | 显示全部楼层
https://doi.org/10.1007/978-1-4939-0941-4 (RF) network. The RF network makes the hardware of each sub-system as a backup for each other during the build-in-test. By utilizing the redundancy of parallel sub-systems, the joint build-in-test of the multi-task RWR can improve the accuracy without any additional RF signal detector.
发表于 2025-3-30 20:30:02 | 显示全部楼层
Detecting Anomalous Insiders Using Network Analysis,respect, Wikipedia talk system. We learn characteristics of those two networks, and find both networks follow degree-strength relations, which could be used for detecting anomalous behaviors of users in the CIS, for instance, anomalous behaviors of hospital employees and wiki editors.
发表于 2025-3-30 23:11:33 | 显示全部楼层
,Containerization Design for Autonomous and Controllable Cloud Distributed System, external communications. Our work has made a certain contribution to the current cloud computing environment and made up for some of the shortcomings of existing cloud environment communication modules.
发表于 2025-3-31 04:10:25 | 显示全部楼层
Spatially Transformed Text-Based CAPTCHAs,n adversarial text-based CAPTCHAs based on spatial transformation. And we use four state-of-the-art CNN models to recognize such adversarial CAPTCHAs with and without preprocessing. Experiments show that this type of CAPTCHAs can effectively reduce the recognition rate of the attack models.
发表于 2025-3-31 06:16:49 | 显示全部楼层
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The Rocket: How It Works in Spacestructed by PDT and B-trunC as the background A network access control algorithm based on reinforcement learning is proposed, which fully considers the service type of session and the mobility of terminal, and realizes the adaptability of network selection.
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