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The following article content are merged in Scholar. Their combined citations are counted only for the main short article.
This "Cited by" count features citations to the subsequent articles or blog posts in Scholar. Those marked * may very well be diverse in the posting during 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 global economy is experiencing by far the most complicated era of weather transform over and above what is apparent within the pre-industrial age. Even though Africa's share of global greenhouse gasoline (GHG) is minimum, the…
The following content are merged in Scholar. Their put together citations are counted just for the 1st write-up.
Towards assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Mastering strategy
A not-for-revenue Group, IEEE is the planet's largest complex Experienced Group dedicated to advancing technology for the advantage of humanity.
A QoE-driven multicast approach with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is going through a Problem referring to partaking the essentialities of Power means to attain financial prosperity because of the following environmental difficulties. Consequently, sectors…
An optimized quantum minimum amount exploring algorithm with confident-achievement probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural useful resource dependence, renewable Vitality, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-on the lookout superresolution imaging depending on the Weibull distribution for Jiahao Shen KCL your sea-surface concentrate on
This "Cited by" count features citations to the following articles or blog posts in Scholar. The ones marked * might be various from your short article during 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 best way to disturb network reconnaissance: a transferring target protection strategy according to deep reinforcement learning