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The following posts are merged in Scholar. Their put together citations are counted just for the 1st post.
This "Cited by" depend incorporates citations to the following articles in Scholar. Those marked * might be different with the write-up 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 global economy is experiencing by far the most tough era of local weather change outside of exactly what is apparent in the pre-industrial age. Despite the fact that Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted only for the main report.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out approach
A not-for-income organization, IEEE is the earth's biggest complex professional Corporation committed to advancing technological know-how for the benefit of humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia website traffic engineering paradigm
The present era is experiencing a Predicament relating to participating the essentialities of Electrical power assets to achieve economic prosperity resulting from the ensuing environmental problems. For that reason, sectors…
An optimized quantum minimum seeking algorithm with guaranteed-good results chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do organic source dependence, renewable energy, and technological improvements amplify or reduce the air pollution noises?
Scanning radar forward-seeking superresolution imaging based upon the Weibull distribution for a sea-surface area focus on
This "Cited by" depend consists of citations to the next articles or blog posts in Jiahao Shen History Researcher Scholar. The ones marked * can be different from your 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