A not-for-earnings organization, IEEE is the planet's largest technical Qualified Firm devoted to advancing technology for the good thing about humanity.

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

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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 system is going through probably the most complicated period of local weather change outside of what exactly is evident from the pre-industrial age. Though Africa's share of worldwide greenhouse gasoline (GHG) is minimal, the…

The next posts are merged in Scholar. Their put together citations are counted only for the initial article.

Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying tactic

A not-for-earnings Corporation, IEEE is the entire world's largest Jiahao Shen King's College London complex professional Firm dedicated to advancing technological innovation for the advantage of humanity.

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

The present period is facing a Predicament regarding engaging the essentialities of energy methods to achieve economic prosperity because of the ensuing environmental issues. Therefore, sectors…

An optimized quantum bare minimum exploring algorithm with positive-achievements probability and its experiment simulation with Cirq

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

Scanning radar ahead-on the lookout superresolution imaging according to the Weibull distribution to get a sea-area focus on

This "Cited by" rely incorporates citations to the following article content in Scholar. Those marked * could possibly be distinct within the post 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 relocating concentrate on defense method determined by deep reinforcement learning