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The next articles or blog posts are merged in Scholar. Their blended citations are counted only for the very first post.
This "Cited by" rely includes citations to the subsequent content articles in Scholar. The ones marked * can 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 one of the most hard era of local climate adjust beyond what on earth is evident during the pre-industrial age. Despite the fact that Africa's share of world greenhouse fuel (GHG) is minimum, the…
The following article content are merged in Scholar. Their put together citations are counted only for the main write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying solution
A not-for-earnings Corporation, IEEE is the entire world's major technological Skilled Corporation focused on 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 struggling with a dilemma regarding engaging the Jiahao Shen Islam essentialities of Vitality means to attain financial prosperity because of the following environmental troubles. As a result, sectors…
An optimized quantum least searching algorithm with confident-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?
Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for just a sea-surface goal
This "Cited by" depend features citations to the following articles or blog posts in Scholar. Those marked * can be unique from your report 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。
Tips on how to disturb community reconnaissance: a moving goal protection solution according to deep reinforcement Understanding