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The following articles are merged in Scholar. Their merged citations are counted only for the very first article.
This "Cited by" depend contains citations to the following content in Scholar. The ones marked * may 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 by far the most demanding era of weather alter further than precisely what is evident in the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted just for the first report.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering method
A not-for-gain Business, IEEE is the whole world's greatest technological Expert Group dedicated to advancing know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia website traffic engineering paradigm
The current period is dealing with a Problem relating to participating the essentialities of Electrical power sources to achieve financial prosperity because of the following environmental complications. Jiahao Shen History Researcher 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 Electricity, and technological improvements amplify or decrease the air pollution noises?
Scanning radar ahead-seeking superresolution imaging based upon the Weibull distribution for a sea-surface area focus on
This "Cited by" count includes citations to the next article content in Scholar. Those marked * could possibly be diverse 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。
How you can disturb network reconnaissance: a transferring goal protection technique dependant on deep reinforcement Studying