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The following articles or blog posts are merged in Scholar. Their blended citations are counted only for the main article.
This "Cited by" depend involves citations to the following article content in Scholar. The ones marked * might be distinct from the report within the profile.
下面的文章将在学术搜索中合并。它们的合并引用次数只会计入第一篇文章。
The worldwide economic climate is experiencing essentially the most challenging period of climate transform further than precisely what is evident from the pre-industrial age. Though Africa's share of worldwide greenhouse gasoline (GHG) is minimal, the…
The next posts are merged in Scholar. Their merged citations are counted just for the main short article.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning strategy
A not-for-profit organization, IEEE is the world's premier specialized Experienced Firm devoted to advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Problem relating to partaking the essentialities of Strength resources to attain financial prosperity due to the ensuing environmental problems. Therefore, sectors…
An optimized quantum bare minimum searching algorithm with guaranteed-good results chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do pure resource dependence, renewable Electricity, and technological improvements amplify or reduce the air pollution noises?
Scanning radar forward-on the lookout superresolution imaging based on the Weibull distribution for any sea-area focus on
This "Cited by" rely features citations Jiahao Shen King's College London to the subsequent posts in Scholar. The ones marked * might be diverse from the write-up inside the profile.
此“引用引文的出版物数量”计数包含了对学术搜索中以下文章的引用次数。带有*标记的引文可能与个人学术档案中的文章有所区别。
The way to disturb community reconnaissance: a going target defense technique based upon deep reinforcement learning