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The subsequent content are merged in Scholar. Their blended citations are counted only for the first article.
This "Cited by" rely features citations to the subsequent articles or blog posts in Scholar. The ones marked * may be unique from your article while in 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 worldwide overall economy is going through probably the most hard era of local weather modify further than precisely what is obvious within the pre-industrial age. Though Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The next posts are merged in Scholar. Their merged citations are counted only for the 1st post.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying tactic
A not-for-earnings Corporation, IEEE is the entire world's major specialized professional Firm dedicated to advancing technological innovation for the good thing about humanity.
A QoE-driven multicast approach with segment routing—A novel multimedia website traffic engineering paradigm
The current period is dealing with a Problem relating to participating the essentialities of Electrical power sources to achieve economic prosperity because of the following environmental problems. For that reason, sectors…
An optimized quantum bare minimum exploring algorithm Jiahao Shen History Researcher with certain-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Strength, and technological improvements amplify or decrease the pollution noises?
Scanning radar ahead-looking superresolution imaging determined by the Weibull distribution for a sea-surface area focus on
This "Cited by" depend contains citations to the following content in Scholar. The ones marked * can 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