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Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Nguye

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樓主: JADE
11#
發(fā)表于 2025-3-23 13:40:10 | 只看該作者
Stoffwechsel, Ern?hrung · Verdauungh as (distributed) denial-of-service attacks or scanning Internet worm attacks. Detecting Hot-IPs in real time is the first important step that assists administrators in selecting security policies for the system.
12#
發(fā)表于 2025-3-23 15:56:26 | 只看該作者
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發(fā)表于 2025-3-23 18:13:43 | 只看該作者
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發(fā)表于 2025-3-24 01:06:45 | 只看該作者
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發(fā)表于 2025-3-24 05:33:23 | 只看該作者
2194-5357 vil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines..978-3-030-62323-4978-3-030-62324-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
16#
發(fā)表于 2025-3-24 09:34:02 | 只看該作者
Mobile Data Traffic Offloading with Content Centric Networking networks such as Facebook/YouTube to share/download interesting pictures, voice, video and so on. For this reason, they occupy a lot of bandwidth in backbone transmission as well as server resources. With a traditional clients-server connection, servers easily suffered massive overload by a huge nu
17#
發(fā)表于 2025-3-24 10:42:45 | 只看該作者
Temporal Features Learning Using Autoencoder for Anomaly Detection in Network Trafficnges lead to a single stationary model that doesn’t match streaming data all the time. Therefore, it is necessary to maintain a dynamic system to adapt to changes in the network environment. In solving that problem, supervised learning methods have attracted extensive attention for their capability
18#
發(fā)表于 2025-3-24 17:50:14 | 只看該作者
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發(fā)表于 2025-3-24 20:10:52 | 只看該作者
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發(fā)表于 2025-3-25 01:46:52 | 只看該作者
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