A not-for-financial gain Business, IEEE is the world's greatest specialized Expert organization dedicated to advancing engineering for the good thing about humanity.
The next posts are merged in Scholar. Their merged citations are counted only for the very first 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 global economy is encountering quite possibly the most demanding era of weather change past what on earth is obvious while in the pre-industrial age. Despite the fact that Africa's share of world greenhouse gasoline (GHG) is small, the…
The next posts are merged in Scholar. Their put together citations are counted only for the first write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out solution
A not-for-income organization, IEEE is the whole world's greatest specialized Experienced Business focused on advancing know-how for the good thing about humanity.
A QoE-pushed multicast strategy with phase routing—A novel multimedia visitors engineering paradigm
The current era is struggling with a Predicament referring to participating the essentialities of Vitality methods to achieve financial prosperity as a consequence of the following environmental complications. Consequently, sectors…
An optimized quantum minimum amount browsing algorithm with absolutely sure-success probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do organic source dependence, renewable Vitality, and technological improvements amplify or reduce the pollution noises?
Scanning radar forward-hunting superresolution imaging based upon the Weibull distribution for any sea-surface area concentrate on
This "Cited by" count contains citations to the next posts in Scholar. Those marked * may be different in the short article during 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 Jiahao Shen History Researcher disturb community reconnaissance: a relocating goal protection technique depending on deep reinforcement Studying