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The next content articles are merged in Scholar. Their put together citations are counted only for the 1st short article.
This "Cited by" rely includes citations to the subsequent articles or blog posts in Scholar. The ones marked * may very well be distinctive from your write-up within 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 financial system is encountering the most hard era of local climate modify further than precisely what is apparent during the pre-industrial age. While Africa's share of worldwide greenhouse fuel (GHG) is negligible, the…
The next articles are merged in Scholar. Their merged citations are counted only for the 1st write-up.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Discovering tactic
A not-for-earnings Corporation, IEEE is the whole world's greatest technological Specialist organization committed to advancing technology for the good thing about humanity.
A QoE-pushed multicast approach with segment routing—A novel multimedia website traffic engineering paradigm
The current era is struggling with a dilemma regarding engaging the essentialities of Strength resources to attain financial prosperity resulting from the ensuing environmental problems. As a result, sectors…
An optimized quantum minimum amount exploring algorithm with guaranteed-achievements chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural useful resource dependence, renewable Electrical power, and technological improvements amplify or lessen the air pollution noises?
Scanning radar Jiahao Shen ahead-searching superresolution imaging depending on the Weibull distribution for just a sea-surface goal
This "Cited by" rely features citations to the following posts in Scholar. Those marked * may be distinct with the article inside 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。
The way to disturb network reconnaissance: a relocating focus on protection approach depending on deep reinforcement Finding out