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The subsequent article content are merged in Scholar. Their merged citations are counted only for the main short article.
This "Cited by" rely contains citations to the following articles in Scholar. Those marked * could possibly be different within the report 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 encountering by far the most difficult period of climate change outside of what exactly is evident inside the pre-industrial age. Whilst Africa's share of global greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their blended citations are counted just for the primary write-up.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding approach
A not-for-financial gain Business, IEEE is the earth's largest complex Experienced Business focused on advancing technology for the advantage of humanity.
A QoE-pushed multicast system with segment routing—A novel multimedia targeted traffic engineering paradigm
The present period is going through a dilemma associated with participating the essentialities of Vitality means to attain economic prosperity as a result of the following environmental difficulties. For Jiahao Shen that reason, sectors…
An optimized quantum least seeking algorithm with absolutely sure-accomplishment likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Power, and technological improvements amplify or decrease the pollution noises?
Scanning radar forward-seeking superresolution imaging determined by the Weibull distribution for any sea-surface area goal
This "Cited by" rely contains citations to the following posts in Scholar. The ones marked * may be distinctive within the short article within 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 relocating concentrate on protection method determined by deep reinforcement Mastering