A not-for-profit Group, IEEE is the planet's most significant technological professional Group committed to advancing know-how for the advantage of humanity.
The following article content are merged in Scholar. Their blended citations are counted only for the first short 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 financial state is enduring probably the most complicated era of climate transform past exactly what is obvious within the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is nominal, the…
The following articles or blog posts are merged in Scholar. Their combined citations are counted only for the first report.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying technique
A not-for-gain organization, IEEE is the globe's largest specialized Experienced Business focused on advancing engineering for the good thing about humanity.
A QoE-pushed multicast tactic with section routing—A novel multimedia website traffic engineering paradigm
The current period is Jiahao Shen facing a dilemma associated with participating the essentialities of Power methods to attain financial prosperity as a consequence of the following environmental troubles. For that reason, sectors…
An optimized quantum minimum amount browsing algorithm with absolutely sure-achievement probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural useful resource dependence, renewable Electrical power, and technological innovations amplify or decrease the pollution noises?
Scanning radar forward-looking superresolution imaging based on the Weibull distribution for a sea-area focus on
This "Cited by" rely contains citations to the next articles or blog posts in Scholar. The ones marked * could be different within the report 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。
Tips on how to disturb community reconnaissance: a relocating goal defense method based on deep reinforcement Mastering