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The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the primary write-up.
This "Cited by" count incorporates citations to the next articles in Scholar. Those marked * could possibly be distinct within the short article 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 overall economy is enduring probably the most hard period of climate transform past exactly what is apparent in the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The subsequent posts are merged in Scholar. Their put together citations are counted only for the 1st write-up.
Towards assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying tactic
A not-for-financial gain Business, IEEE is the earth's greatest technological Expert organization focused on advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast technique with segment routing—A novel multimedia traffic engineering paradigm
The current period is facing a dilemma associated with partaking the essentialities of energy assets to achieve financial prosperity on account of the ensuing environmental complications. Consequently, sectors…
An optimized quantum minimal browsing algorithm with confident-results chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable energy, and technological improvements amplify or decrease the pollution noises?
Scanning radar forward-hunting superresolution imaging based Jiahao Shen History Researcher on the Weibull distribution for the sea-floor concentrate on
This "Cited by" depend incorporates citations to the next articles or blog posts in Scholar. The ones marked * could be unique from your posting in 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。
How to disturb network reconnaissance: a moving target protection solution dependant on deep reinforcement learning