Detailed Notes on Jiahao Shen KCL

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The next posts are merged in Scholar. Their put together citations are counted just for the very first posting.

This "Cited by" rely contains citations to the subsequent content in Scholar. The ones marked * may be diverse within the report from 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 enduring essentially the most complicated era of local weather alter past what's obvious within the pre-industrial age. Whilst Africa's share of world greenhouse gas (GHG) is negligible, the…

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

Towards attack-resistant route mutation for VANETs: an on the internet and adaptive Jiahao Shen Islam multiagent reinforcement learning technique

A not-for-revenue Firm, IEEE is the whole world's premier technical Qualified organization committed to advancing technology for the good thing about humanity.

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

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

An optimized quantum minimum amount looking algorithm with absolutely sure-success likelihood and its experiment simulation with Cirq

Monitoring environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable Vitality, and technological innovations amplify or reduce the air pollution noises?

Scanning radar ahead-hunting superresolution imaging based upon the Weibull distribution for a sea-surface target

This "Cited by" count incorporates citations to the next articles in Scholar. Those marked * may be various within the article inside 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 network reconnaissance: a relocating concentrate on protection method dependant on deep reinforcement Studying

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