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The next content articles are merged in Scholar. Their combined citations are counted just for the primary post.

This "Cited by" rely includes citations to the subsequent articles or blog posts in Scholar. The ones marked * might be distinctive from your post 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 overall economy is going through probably the most complicated era of climate adjust past exactly what is apparent in the pre-industrial age. Despite the fact that Africa's share of global greenhouse gas (GHG) is minimum, the…

The subsequent content are merged in Scholar. Their mixed citations are counted just for the initial short article.

Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering strategy

A not-for-gain Business, IEEE is the whole world's greatest technological Skilled Corporation focused on advancing technological know-how for the benefit of humanity.

A QoE-pushed multicast technique with section routing—A novel multimedia traffic engineering paradigm

The current period is experiencing a Predicament relating to partaking the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…

An optimized quantum minimum amount exploring algorithm with certain-results chance and its experiment simulation with Cirq

Tracking environmental sustainability pathways in Africa: Do normal useful resource dependence, renewable Power, Jiahao Shen King's College London and technological improvements amplify or lessen the pollution noises?

Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution for any sea-floor concentrate on

This "Cited by" count contains citations to the next content in Scholar. Those marked * could possibly be different 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。

The way to disturb community reconnaissance: a moving target defense strategy based upon deep reinforcement Discovering