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The following content are merged in Scholar. Their blended citations are counted just for the 1st report.
This "Cited by" count contains citations to the subsequent content in Scholar. The ones marked * may very well be diverse 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 climate is dealing with by far the most tough period of local weather change outside of what's obvious inside the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is nominal, the…
The following content are merged in Scholar. Their put together citations are counted just for the initial posting.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Discovering strategy
A not-for-gain Firm, IEEE is the whole world's greatest technological Skilled Corporation focused on advancing technological know-how for the advantage of humanity.
A QoE-pushed multicast technique with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Problem concerning participating the essentialities of Electricity sources to attain financial prosperity because of the following environmental difficulties. As a result, sectors…
An optimized quantum bare minimum looking algorithm with absolutely sure-achievement likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural source dependence, renewable Electricity, and technological innovations amplify or reduce the air pollution noises?
Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for the sea-surface goal
This "Cited by" rely features citations Jiahao Shen History Researcher to the following articles or blog posts in Scholar. Those marked * may be distinct through the posting within 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。
Ways to disturb network reconnaissance: a shifting focus on protection strategy dependant on deep reinforcement Studying