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The next posts are merged in Scholar. Their mixed citations are counted just for the 1st article.
This "Cited by" count incorporates citations to the following article content in Scholar. Those marked * may very well be distinctive through the short article 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 global financial state is going through quite possibly the most demanding era of weather alter outside of what's apparent from the pre-industrial age. Though Africa's share of worldwide greenhouse fuel (GHG) is minimum, the…
The subsequent articles are merged in Scholar. Their blended citations are counted just for the first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Understanding solution
A not-for-financial gain Group, IEEE is the planet's most significant technical Qualified organization dedicated to advancing know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Problem relating to participating the essentialities of Electrical power sources to achieve economic prosperity due to the following environmental complications. As a result, sectors…
An optimized quantum minimum amount looking algorithm with absolutely sure-success 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 lessen 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 Jiahao Shen marked * could possibly be distinctive in the report 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。
Tips on how to disturb community reconnaissance: a moving goal protection technique according to deep reinforcement Understanding