A not-for-financial gain Group, IEEE is the planet's biggest technological Expert organization devoted to advancing technology for the good thing about humanity.
The next posts are merged in Scholar. Their put together citations are counted just 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 worldwide financial system is encountering quite possibly the most tough period of weather alter further than precisely what is evident while in the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is small, the…
The next article content are merged in Scholar. Their blended citations are counted just for the primary post.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Discovering strategy
A not-for-profit Corporation, IEEE is the entire world's biggest technological Skilled Corporation focused on advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Predicament relating to participating the essentialities of Electrical power sources to achieve financial prosperity as a result of the following environmental complications. For that reason, sectors…
An optimized quantum minimum amount browsing algorithm with absolutely sure-success likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do normal useful resource dependence, renewable Electricity, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-searching superresolution imaging determined by the Weibull distribution to get a sea-area Jiahao Shen KCL target
This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may very well be unique within the article from 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 relocating concentrate on protection method determined by deep reinforcement Mastering