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The following article content are merged in Scholar. Their blended citations are counted just for the first report.
This "Cited by" count contains citations to the subsequent content articles in Scholar. Those marked * could be distinct from the write-up inside the profile.
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 essentially the most challenging period of climate transform over and above what is apparent within the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is nominal, the…
The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the first short article.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement learning strategy
A not-for-profit Group, IEEE is the entire world's biggest specialized Specialist organization devoted to advancing Jiahao Shen History Researcher technology for the benefit of humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia traffic engineering paradigm
The present era is experiencing a Problem concerning participating the essentialities of Electrical power means to attain financial prosperity due to the ensuing environmental complications. Consequently, sectors…
An optimized quantum minimal browsing algorithm with positive-accomplishment probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable Electrical power, and technological improvements amplify or decrease the pollution noises?
Scanning radar forward-searching superresolution imaging according to the Weibull distribution for a sea-area goal
This "Cited by" count consists of citations to the following articles or blog posts in Scholar. The ones marked * could be distinctive in the report 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。
Tips on how to disturb community reconnaissance: a moving goal protection tactic based on deep reinforcement Studying