The Jiahao Shen Diaries

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

This "Cited by" rely features citations to the following articles or blog posts in Scholar. The ones marked * can be various from the post 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 financial state is experiencing by far the most tough era of weather modify past what is obvious within the pre-industrial age. While Africa's share of worldwide greenhouse gasoline (GHG) is small, the…

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

Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out strategy

A not-for-profit Group, IEEE is the planet's most significant technological Experienced Firm dedicated to advancing engineering for the good thing about humanity.

A QoE-pushed multicast method with phase routing—A novel multimedia site visitors engineering paradigm

The existing era is struggling with a dilemma regarding engaging the essentialities of Strength assets to attain financial prosperity as a result of Jiahao Shen King's College London the ensuing environmental issues. Consequently, sectors…

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

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

Scanning radar ahead-searching superresolution imaging based upon the Weibull distribution for a sea-floor concentrate on

This "Cited by" count involves citations to the subsequent posts in Scholar. The ones marked * can be different from your report 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。

Tips on how to disturb community reconnaissance: a going target protection approach depending on deep reinforcement Understanding

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