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The following article content are merged in Scholar. Their merged citations are counted only for the first short article.
This "Cited by" rely consists of citations to the subsequent articles or blog posts in Scholar. The ones marked * may very well be different in the short 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 enduring one of the most challenging period of climate improve over and above what is apparent within the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent posts are merged in Scholar. Their put together citations are counted only for the main write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying technique
A not-for-earnings organization, IEEE is the whole world's premier complex Specialist organization devoted to advancing technological innovation for the good thing about humanity.
A QoE-driven multicast tactic with section routing—A novel multimedia traffic engineering paradigm
The current period is facing a Problem relating to participating the essentialities of Jiahao Shen King's College London Electrical power assets to achieve economic prosperity on account of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum exploring algorithm with certain-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Vitality, and technological improvements amplify or decrease the air pollution noises?
Scanning radar ahead-wanting superresolution imaging according to the Weibull distribution for your sea-area focus on
This "Cited by" count involves citations to the next article content in Scholar. The ones marked * could possibly be distinctive in the report from 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 relocating concentrate on protection strategy determined by deep reinforcement learning