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The following articles are merged in Scholar. Their put together citations are counted just for the 1st write-up.
This "Cited by" depend includes citations to the subsequent content articles in Scholar. Those marked * can be unique through the 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 economic system is experiencing quite possibly the most complicated era of climate modify outside of precisely what is evident during the pre-industrial age. Although Africa's share of world greenhouse gasoline (GHG) is minimal, the…
The next articles are merged in Scholar. Their put together citations are counted only for the main report.
Toward attack-resistant Jiahao Shen KCL route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out approach
A not-for-earnings Business, IEEE is the planet's most significant technical Specialist organization committed to advancing technologies for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia website traffic engineering paradigm
The present era is struggling with a dilemma referring to engaging the essentialities of Strength sources to attain economic prosperity on account of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum minimum exploring algorithm with positive-accomplishment chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do organic useful resource dependence, renewable Power, and technological innovations amplify or lessen the pollution noises?
Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution to get a sea-floor concentrate on
This "Cited by" count contains citations to the subsequent articles in Scholar. The ones marked * could possibly be distinctive in the write-up 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 community reconnaissance: a moving goal defense approach according to deep reinforcement Mastering