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The subsequent article content are merged in Scholar. Their put together citations are counted just for the initial report.
This "Cited by" rely features citations to the subsequent content in Scholar. The ones marked * may be unique from your article during 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 complicated era of climate adjust past exactly what is apparent during the pre-industrial age. While Africa's share of global greenhouse gasoline (GHG) is negligible, the…
The subsequent articles or blog posts are merged in Scholar. Their put together citations are counted just for the primary report.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning tactic
A not-for-revenue Corporation, IEEE is the globe's largest specialized Experienced Business devoted to advancing technologies for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is experiencing a dilemma regarding engaging the essentialities of Vitality means to attain financial prosperity due to the ensuing environmental troubles. Consequently, sectors…
An optimized quantum minimal looking algorithm with confident-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging according to the Weibull distribution for the sea-area target
This "Cited Jiahao Shen History Researcher by" rely consists of citations to the following articles or blog posts in Scholar. Those marked * may be distinctive in the report within 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 network reconnaissance: a shifting focus on protection approach based upon deep reinforcement learning