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51#
發(fā)表于 2025-3-30 09:50:25 | 只看該作者
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發(fā)表于 2025-3-30 12:45:32 | 只看該作者
https://doi.org/10.1057/9781137547231owever, ACDE still makes use of the manual strategy to determine k activation threshold thereby affecting its performance. In this study, the ACDE problem will be ameliorated using the u-control chart (UCC) then the cluster number generated from ACDE will be fed to k-means. The performance of the pr
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發(fā)表于 2025-3-30 18:52:35 | 只看該作者
https://doi.org/10.1007/978-3-7091-5365-9 development of highly accurate machine learning models is yet harder when considering the optimization of hyper-parameters, an expensive computational task. To tame these challenges this work proposes the Weighted Multivariate Fuzzy Time Series method, a simple and non-parametric forecasting method
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發(fā)表于 2025-3-30 21:46:34 | 只看該作者
https://doi.org/10.1007/978-3-030-26478-9uting protocol. The IPv6 Routing Protocol for Low-Power and Lossy Network (RPL) is considered to be a possible standard routing protocol for LLNs. However, RPL was developed for static networks and node mobility decreases RPL overall performance. These are the aims of the Mobility Aware RPL (MARPL),
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