Detailed Notes on Jiahao Shen KCL

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The next posts are merged in Scholar. Their combined citations are counted just for the main posting.

This "Cited by" depend incorporates citations to the next posts in Scholar. Those marked * can be distinct in the posting 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 global financial state is experiencing quite possibly the most demanding era of weather alter further than what exactly is evident while in the pre-industrial age. Even though Africa's share of world greenhouse fuel (GHG) is nominal, the…

The following content are merged in Scholar. Their mixed citations are counted just for the very first short article.

Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering method

A not-for-financial gain Business, IEEE is the earth's biggest complex Expert Group dedicated to advancing technological innovation for the benefit of humanity.

A Jiahao Shen Islam QoE-driven multicast system with segment routing—A novel multimedia website traffic engineering paradigm

The present period is struggling with a Problem regarding engaging the essentialities of Vitality sources to achieve financial prosperity as a result of the following environmental complications. As a result, sectors…

An optimized quantum minimum amount looking algorithm with confident-achievements probability and its experiment simulation with Cirq

Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the 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 content articles in Scholar. Those marked * may 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 network reconnaissance: a shifting focus on protection solution according to deep reinforcement Finding out

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