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Titlebook: Artificial Intelligence and Security; 8th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2022 The Editor(

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樓主: Cataplexy
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發(fā)表于 2025-3-28 14:58:12 | 只看該作者
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發(fā)表于 2025-3-28 19:55:05 | 只看該作者
978-3-031-06790-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-29 00:17:45 | 只看該作者
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發(fā)表于 2025-3-29 06:16:12 | 只看該作者
Introduction to FTIR Microspectroscopy,hnology in power system, including data distribution based on encryption technology in different storage modes and traceability mechanism suitable for different leak scenarios, so as to improve the traditional data distribution centralized degree, unclear rights allocation, low distribution efficien
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發(fā)表于 2025-3-29 08:40:46 | 只看該作者
Introduction to FTIR Microspectroscopy, collaborative data analysis. To ensure the safety and legal use of data, the company needs to record and track the use of data to establish a reasonable accountability and protection mechanism. In fact, the rapid growth of data scale and the complexity of the environment pose serious challenges to
46#
發(fā)表于 2025-3-29 12:02:25 | 只看該作者
Montage miniaturisierter Bauteileuter or mobile phone and on the hardware. In order to meet people’s various daily needs, developers need to continuously develop new software and firmware. The software development process requires the reuse of shared codes and the realization of the middle-station module codes. These reusable codes
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發(fā)表于 2025-3-29 19:15:27 | 只看該作者
Taylor und die Fertigungstechnik von morgenf short videos in recent years, watching short videos has become one of people‘s daily habits, and therefore the harm of false videos is becoming more and more significant. In this paper, we study the falsity identification of videos through the characteristics of both video publishers and video pub
48#
發(fā)表于 2025-3-29 20:00:51 | 只看該作者
H. J. Warnecke,K. Lange,G. Pritschowitive rate, low detection rate, slow processing response and high data feature dimension of traditional intrusion detection algorithms. In order to solve these problems, an intrusion detection model KNN-AE-DNN based on K-NearestNeighbor (KNN), Dense Neural Network and auto encoder network (AE) is pr
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發(fā)表于 2025-3-30 01:56:35 | 只看該作者
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