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The following content are merged in Scholar. Their blended citations are counted only for the first short article.
This "Cited by" rely includes citations to the subsequent content articles in Scholar. The ones marked * can be distinct within the report within 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 going through essentially the most demanding era of climate transform past exactly what is apparent in the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent posts 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 Understanding solution
A not-for-earnings Business, IEEE is the whole world's major specialized Qualified Group committed to advancing technologies for the good thing about humanity.
A QoE-driven multicast approach with segment routing—A novel multimedia targeted traffic engineering paradigm
The existing era is experiencing a dilemma associated with partaking the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum hunting algorithm with certain-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural resource dependence, renewable Jiahao Shen King's College London Electricity, and technological improvements amplify or lessen the air pollution noises?
Scanning radar ahead-hunting superresolution imaging according to the Weibull distribution for the sea-area focus on
This "Cited by" depend features citations to the subsequent content in Scholar. The ones marked * could be unique from the write-up while in 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。
The best way to disturb community reconnaissance: a going target defense technique dependant on deep reinforcement learning