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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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51#
發(fā)表于 2025-3-30 10:40:57 | 只看該作者
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.
52#
發(fā)表于 2025-3-30 14:48:17 | 只看該作者
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.
53#
發(fā)表于 2025-3-30 20:30:02 | 只看該作者
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.
54#
發(fā)表于 2025-3-30 23:11:33 | 只看該作者
,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.
55#
發(fā)表于 2025-3-31 04:10:25 | 只看該作者
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.
56#
發(fā)表于 2025-3-31 06:16:49 | 只看該作者
57#
發(fā)表于 2025-3-31 11:03:33 | 只看該作者
58#
發(fā)表于 2025-3-31 16:39:45 | 只看該作者
59#
發(fā)表于 2025-3-31 18:54:15 | 只看該作者
60#
發(fā)表于 2025-3-31 23:35:27 | 只看該作者
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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