The Jiahao Shen Diaries

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The following articles are merged in Scholar. Their merged citations are counted only for the first short article.

This "Cited by" rely consists of citations to the next posts in Scholar. Those marked * might be various within the report 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 worldwide economic climate is dealing with one of the most tough period of local weather alter further than what on earth is evident during the pre-industrial age. Though Africa's share of worldwide greenhouse gasoline (GHG) is negligible, the…

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

Toward assault-resistant Jiahao Shen King's College London route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering method

A not-for-financial gain Business, IEEE is the whole world's greatest technological Expert Group dedicated to advancing know-how for the benefit of humanity.

A QoE-pushed multicast system with phase routing—A novel multimedia website traffic engineering paradigm

The present era is struggling with a dilemma regarding partaking the essentialities of Vitality means to attain economic prosperity resulting from the following environmental problems. For that reason, sectors…

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

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

Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for your sea-surface goal

This "Cited by" rely includes citations to the next articles in Scholar. The ones marked * could possibly be distinct within the post in 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。

How to disturb community reconnaissance: a going target defense strategy based upon deep reinforcement learning

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