Expediency
发表于 2025-3-28 16:36:39
Gonzales d’Alcantara,Bernard Amerlyncklity based on residual energy and location distribution of nodes. Then node associate with the cluster head with least communication cost and high residual energy. Simulation results show that ADEEC achieves longer stability period, network lifetime, and throughput than the other classical clustering algorithms.
骚扰
发表于 2025-3-28 20:38:17
http://reply.papertrans.cn/27/2631/263048/263048_42.png
种植,培养
发表于 2025-3-29 02:26:22
Data Science978-981-10-6388-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
腼腆
发表于 2025-3-29 06:13:41
Beiji Zou,Qilong Han,Zeguang LuIncludes supplementary material:
nuclear-tests
发表于 2025-3-29 09:27:20
http://reply.papertrans.cn/27/2631/263048/263048_45.png
暗语
发表于 2025-3-29 13:08:25
http://reply.papertrans.cn/27/2631/263048/263048_46.png
胡言乱语
发表于 2025-3-29 16:10:49
978-981-10-6387-9Springer Nature Singapore Pte Ltd. 2017
通知
发表于 2025-3-29 23:31:21
http://reply.papertrans.cn/27/2631/263048/263048_48.png
粗糙滥制
发表于 2025-3-30 03:16:59
,Aktuelle Fälle der Wirtschaftsspionage, strategies in social network. Most existing studies mainly focus on designing efficient algorithms or heuristics to find Top-K influential individuals for static network. However, when the network is evolving over time, the static algorithms have to be re-executed which will incur tremendous execut
Ascendancy
发表于 2025-3-30 04:49:03
https://doi.org/10.1007/978-1-4302-0733-7Naive Bayesian text classification and term frequency. Firstly, the keywords sets of App software’s user reviews are extracted. Then, the keywords sets are optimized. Finally, the relevance score of the user reviews are calculated, and whether the user reviews are relevant is judged. Through the exp