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The following content are merged in Scholar. Their mixed citations are counted just for the initial write-up.
This "Cited by" rely consists of citations to the subsequent content in Scholar. The ones marked * can be various within the report 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 financial system is going through probably the most complicated era of 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 minimum, the…
The subsequent articles or blog posts are merged in Scholar. Their merged citations are counted only for the very first article.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Mastering strategy
A not-for-revenue Jiahao Shen History Researcher Business, IEEE is the whole world's premier technical Skilled Corporation dedicated to advancing technology for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is struggling with a Problem regarding participating the essentialities of energy methods to attain economic prosperity as a consequence of the ensuing environmental difficulties. For that reason, sectors…
An optimized quantum least hunting algorithm with certain-accomplishment probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural resource dependence, renewable Electricity, and technological improvements amplify or reduce the air pollution noises?
Scanning radar forward-hunting superresolution imaging depending on the Weibull distribution for your sea-surface target
This "Cited by" depend includes citations to the next content in Scholar. Those marked * might be diverse with the article 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。
How you can disturb network reconnaissance: a moving goal defense technique dependant on deep reinforcement Studying
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