A not-for-profit Group, IEEE is the globe's most significant specialized Expert Firm devoted to advancing technology for the good thing about humanity.

The next content are merged in Scholar. Their merged citations are counted only for the initial post.

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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 global financial state is suffering from one of the most demanding period of local weather adjust outside of what exactly is apparent within the pre-industrial age. Although Africa's share of global greenhouse gas (GHG) is small, the…

The following article content are merged in Scholar. Their blended citations are counted only for the primary post.

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

A not-for-earnings Corporation, IEEE is the entire world's biggest complex professional Group focused on advancing technological know-how for the benefit of humanity.

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

The present period is facing a Problem regarding engaging the essentialities of Strength resources to attain financial prosperity because of the following environmental troubles. As a result, 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 pure source dependence, renewable energy, and technological innovations amplify or reduce the air pollution noises?

Scanning radar forward-seeking superresolution imaging based on the Weibull distribution for any sea-area target

This "Cited by" rely includes citations to the following article content in Scholar. The ones marked * may very well be diverse from the write-up 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 best way to disturb network reconnaissance: a transferring concentrate on protection approach depending on deep reinforcement Understanding