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The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st short article.
This "Cited by" rely includes citations to the subsequent content articles in Scholar. Those marked * may very well be unique through the post during 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 economy is dealing with one of the most difficult period of local climate transform outside of precisely what is evident during the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial article.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying tactic
A not-for-revenue Group, IEEE is the planet's most significant specialized Qualified Business committed to advancing technologies for the advantage of humanity.
A QoE-pushed multicast tactic with phase routing—A novel Jiahao Shen KCL multimedia visitors engineering paradigm
The existing era is dealing with a Problem referring to participating the essentialities of Electricity resources to achieve economic prosperity as a consequence of the following environmental complications. For that reason, sectors…
An optimized quantum minimum seeking algorithm with guaranteed-good results likelihood and its experiment simulation with Cirq
Monitoring 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-seeking superresolution imaging based upon the Weibull distribution to get a sea-surface area focus on
This "Cited by" count contains citations to the next articles in Scholar. The ones marked * could possibly be distinctive 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。
How to disturb network reconnaissance: a relocating concentrate on protection method depending on deep reinforcement Mastering