A not-for-financial gain Corporation, IEEE is the world's major complex Skilled organization devoted to advancing technological know-how for the advantage of humanity.
The subsequent content articles are merged in Scholar. Their put together citations are counted only for the 1st article.
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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 state is encountering probably the most challenging period of climate adjust past exactly what is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The next articles are merged in Scholar. Their merged citations are counted only for the very first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out approach
A not-for-income organization, IEEE is the globe's biggest technological Skilled Corporation focused on advancing know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia targeted visitors engineering paradigm
The present period is struggling with a Problem regarding engaging the essentialities of Vitality means to attain Jiahao Shen King's College London economic prosperity as a consequence of the ensuing environmental issues. For that reason, sectors…
An optimized quantum minimum looking algorithm with certain-achievement probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do normal useful resource dependence, renewable energy, and technological innovations amplify or lessen the air pollution noises?
Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for the sea-floor focus on
This "Cited by" rely incorporates citations to the following article content in Scholar. Those marked * may be unique in the posting 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。
Ways to disturb network reconnaissance: a transferring focus on protection technique dependant on deep reinforcement Studying