A not-for-earnings organization, IEEE is the entire world's greatest technical Experienced Group dedicated to advancing technology for the good thing about humanity.
The next content articles are merged in Scholar. Their combined citations are counted just 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 worldwide economic system is enduring essentially the most challenging period of climate alter outside of precisely what is apparent during the pre-industrial age. Despite the fact that Africa's share of world greenhouse fuel (GHG) is nominal, the…
The subsequent articles are merged in Scholar. Their merged citations are counted only for the 1st report.
Toward assault-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Mastering strategy
A not-for-profit Firm, IEEE is the entire world's greatest technical Skilled Firm focused on advancing technology for the benefit of humanity.
A QoE-pushed multicast technique with phase routing—A novel multimedia visitors engineering paradigm
The present period is dealing with a Predicament referring to participating the essentialities of energy assets to achieve economic prosperity resulting from the ensuing environmental problems. Therefore, sectors…
An optimized quantum bare minimum exploring algorithm with positive-results probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the air pollution noises?
Scanning radar ahead-seeking superresolution imaging based upon the Weibull distribution to get a sea-surface area focus on
This "Cited by" depend consists of citations to the next article content in Scholar. The ones marked Jiahao Shen History Researcher * could be unique from the write-up while 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。
The way to disturb community reconnaissance: a moving target defense technique dependant on deep reinforcement Studying