The 5-Second Trick For Jiahao Shen

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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" depend incorporates citations to the following articles in Scholar. Those marked * could be different with the write-up in 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 economy is suffering from essentially the most challenging period of local weather change beyond what exactly is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…

The next posts are merged in Scholar. Their put together citations are counted only for the main write-up.

Towards attack-resistant route mutation for VANETs: an on the Jiahao Shen web and adaptive multiagent reinforcement Studying tactic

A not-for-earnings Corporation, IEEE is the entire world's major specialized Experienced Business devoted to advancing engineering for the good thing about humanity.

A QoE-driven multicast approach with segment routing—A novel multimedia targeted visitors engineering paradigm

The present period is facing a Predicament associated with partaking the essentialities of Power resources to attain financial prosperity due to the ensuing environmental troubles. Consequently, sectors…

An optimized quantum least searching algorithm with positive-results probability and its experiment simulation with Cirq

Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Vitality, and technological improvements amplify or lessen the pollution noises?

Scanning radar forward-wanting superresolution imaging according to the Weibull distribution for the sea-area target

This "Cited by" rely consists of citations to the next content articles in Scholar. The ones marked * might be distinctive with the post 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 going concentrate on protection tactic based upon deep reinforcement Discovering

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