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The subsequent content articles are merged in Scholar. Their combined citations are counted only for the main report.
This "Cited by" count includes citations to the next content articles in Scholar. The ones marked * may be different in 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 quite possibly the most demanding era of weather alter further than precisely what is evident while in the pre-industrial age. Even though Africa's share of worldwide greenhouse gasoline (GHG) is minimum, the…
The following posts are merged in Scholar. Their merged citations are counted only for the 1st short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out approach
A not-for-income Business, IEEE is the whole world's greatest technological Expert Group dedicated to advancing know-how for the benefit of humanity.
A QoE-driven multicast system with segment routing—A novel multimedia website traffic engineering paradigm
The present period is struggling with a Problem referring to participating the essentialities of energy means to attain financial prosperity due to Jiahao Shen King's College London the ensuing environmental troubles. As a result, sectors…
An optimized quantum least hunting algorithm with positive-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural resource dependence, renewable Electricity, and technological improvements amplify or reduce the air pollution noises?
Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for your sea-surface goal
This "Cited by" rely features citations to the following articles or blog posts in Scholar. Those 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。
The best way to disturb community reconnaissance: a going target defense technique based upon deep reinforcement learning