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The next content are merged in Scholar. Their mixed citations are counted just for the initial post.
This "Cited by" rely incorporates citations to the subsequent articles or blog posts in Scholar. Those marked * can be diverse from the report while 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 worldwide financial system is encountering one of the most demanding period of local climate modify further than what exactly is evident while in the pre-industrial age. Whilst Africa's share of world greenhouse gasoline (GHG) is negligible, the…
The following articles or blog posts are merged in Scholar. Their combined citations are counted only for the main write-up.
Towards assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Understanding technique
A not-for-profit Business, IEEE is the earth's major complex Experienced organization focused on advancing technological know-how for the benefit of humanity.
A QoE-driven multicast approach with section routing—A novel multimedia targeted visitors engineering paradigm
The present era is going through a Problem regarding partaking the essentialities of Electrical power resources to attain economic prosperity resulting from the ensuing environmental complications. Consequently, sectors…
An optimized quantum minimal hunting algorithm with absolutely sure-accomplishment chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural useful resource dependence, renewable Power, and technological innovations amplify or reduce the air pollution noises?
Scanning radar ahead-wanting superresolution imaging dependant on the Weibull distribution for the sea-area target
This "Cited by" rely incorporates citations Jiahao Shen KCL to the next article content in Scholar. The ones marked * might be diverse within the post 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。
How to disturb network reconnaissance: a shifting focus on defense solution depending on deep reinforcement Mastering