A not-for-revenue Firm, IEEE is the earth's most significant specialized Skilled organization dedicated to advancing engineering for the good thing about humanity.

The subsequent content are merged in Scholar. Their blended citations are counted only for the very first 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 global financial state is dealing with essentially the most difficult period of weather alter further than precisely what is evident while in the pre-industrial age. Though Africa's share of worldwide greenhouse fuel (GHG) is minimum, the…

The subsequent content articles are merged in Scholar. Their put together citations are counted only for the first report.

Towards assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out tactic

A not-for-revenue Corporation, IEEE is the entire world's premier technological Experienced Firm committed to advancing technological know-how for the good thing about humanity.

A QoE-pushed multicast approach with section routing—A novel multimedia targeted traffic engineering paradigm

The existing period is facing a dilemma associated with partaking the essentialities of Power resources to attain economic prosperity due to the following environmental complications. As a result, sectors…

An optimized quantum minimal looking algorithm with confident-achievements likelihood and its experiment simulation with Cirq

Tracking environmental sustainability pathways in Africa: Do normal resource dependence, renewable Power, and technological innovations amplify or reduce the air pollution Jiahao Shen noises?

Scanning radar ahead-on the lookout superresolution imaging depending on the Weibull distribution for your sea-area concentrate on

This "Cited by" depend incorporates citations to the subsequent articles in Scholar. Those marked * can be distinct through 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。

How to disturb community reconnaissance: a transferring target defense method based on deep reinforcement Studying