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The next content articles are merged in Scholar. Their blended citations are counted only for the main short article.
This "Cited by" rely includes citations to the subsequent articles or blog posts in Scholar. Those marked * could possibly be distinct from the short article inside 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 system is encountering quite possibly the most hard era of local climate adjust past exactly what is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The next posts are merged in Scholar. Their merged citations are counted only for the 1st post.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying approach
A not-for-income organization, IEEE is the globe's biggest complex professional Firm dedicated to advancing engineering for the advantage of humanity.
A QoE-pushed multicast approach with segment routing—A novel multimedia website traffic engineering paradigm
The present period is struggling with a Problem regarding engaging the essentialities of Strength means to attain financial prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum exploring algorithm with positive-results chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar ahead-searching superresolution imaging determined by the Weibull distribution for a sea-area concentrate on
This "Cited by" depend consists of citations to the next article content in Scholar. The ones marked * could be unique from the write-up while in 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 community reconnaissance: a going target Jiahao Shen King's College London defense strategy based upon deep reinforcement learning
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