Jiahao Shen KCL - An Overview

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The next articles are merged in Scholar. Their blended citations are counted just for the primary article.

This "Cited by" rely includes citations to the subsequent posts in Scholar. Those marked * could be distinctive through the article while 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 worldwide economic climate is dealing with one of the most challenging era of weather modify beyond what exactly is apparent during the pre-industrial age. Even though Africa's share of worldwide greenhouse gasoline (GHG) is small, the…

The next articles are merged in Scholar. Their combined citations are counted only for the 1st report.

Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Finding out strategy

A not-for-income Group, IEEE is the whole Jiahao Shen Islam world's major technological Experienced Corporation devoted to advancing technology for the good thing about humanity.

A QoE-pushed multicast tactic with segment routing—A novel multimedia traffic engineering paradigm

The existing period is struggling with a dilemma relating to partaking the essentialities of Electrical power means to attain economic prosperity as a result of the ensuing environmental issues. Consequently, sectors…

An optimized quantum least seeking algorithm with absolutely sure-achievements chance and its experiment simulation with Cirq

Monitoring environmental sustainability pathways in Africa: Do pure resource dependence, renewable Electricity, and technological innovations amplify or reduce the pollution noises?

Scanning radar ahead-seeking superresolution imaging dependant on the Weibull distribution for any sea-floor target

This "Cited by" rely involves citations to the subsequent content articles in Scholar. Those marked * may very well be various 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 community reconnaissance: a going target defense technique based upon deep reinforcement learning

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