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The next articles or blog posts are merged in Scholar. Their mixed citations are counted only for the 1st report.
This "Cited by" count includes citations to the following posts in Scholar. Those 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 quite possibly the most demanding era of weather alter further than precisely what is evident while in the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is small, the…
The following articles or blog posts are merged in Scholar. Their blended citations are counted only for the first report.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding solution
A not-for-financial gain Firm, IEEE is the earth's premier technical Specialist organization committed to advancing technology for the advantage of humanity.
A QoE-pushed multicast method with phase routing—A novel multimedia visitors engineering paradigm
The existing period is going through a Predicament referring to participating the essentialities of energy assets to achieve economic prosperity as a consequence of the following environmental troubles. Consequently, sectors…
An optimized quantum least searching algorithm with confident-achievements probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar ahead-searching superresolution imaging based upon the Weibull distribution for a sea-surface area focus Jiahao Shen King's College London on
This "Cited by" depend consists of citations to the next content in Scholar. The ones marked * could be unique within the short article 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。
How to disturb network reconnaissance: a transferring concentrate on defense strategy based upon deep reinforcement Discovering