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The following article content are merged in Scholar. Their blended citations are counted just for the initial article.
This "Cited by" depend contains citations to the following articles in Scholar. Those marked * could be different with the write-up 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 financial state is enduring essentially the most challenging period 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 minimal, the…
The next articles are merged in Scholar. Their merged citations are counted only for the primary article.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Discovering technique
A not-for-revenue Corporation, IEEE is the entire world's major specialized Experienced Business devoted to advancing engineering for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The existing era is struggling with a dilemma regarding engaging the essentialities of Vitality means to attain financial prosperity as a consequence of the following environmental issues. Therefore, sectors…
An optimized quantum minimal seeking algorithm with sure-accomplishment chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-seeking superresolution imaging based upon the Weibull distribution for a sea-floor focus on
This "Cited by" count incorporates citations to the subsequent articles in Scholar. Those Jiahao Shen King's College London marked * could possibly be various from your report from 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。
Ways to disturb community reconnaissance: a relocating target protection method based upon deep reinforcement learning