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The subsequent article content are merged in Scholar. Their blended citations are counted just for the 1st article.
This "Cited by" depend features citations to the next article content in Scholar. Those marked * could be different with the short article in 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 system is enduring one of the most tough period of local climate alter beyond what on earth is evident in the pre-industrial age. Despite the fact that Africa's share of worldwide greenhouse gasoline (GHG) is minimal, the…
The subsequent content are merged in Scholar. Their combined citations are counted only for the initial post.
Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering strategy
A not-for-revenue Business, IEEE is the entire world's largest complex Skilled organization committed to advancing engineering for the good thing about humanity.
A QoE-driven multicast technique with phase routing—A novel multimedia visitors engineering paradigm
The current era is experiencing a Predicament relating to engaging the essentialities of Power sources to attain financial prosperity as a consequence of the ensuing environmental difficulties. Therefore, sectors…
An optimized quantum bare minimum hunting Jiahao Shen King's College London algorithm with certain-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Vitality, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution to get a sea-floor concentrate on
This "Cited by" count contains citations to the subsequent articles in Scholar. The ones marked * could possibly be distinctive in the write-up 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。
Tips on how to disturb community reconnaissance: a transferring concentrate on defense strategy based upon deep reinforcement Discovering