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The subsequent content are merged in Scholar. Their blended citations are counted just for the very first report.
This "Cited by" depend involves citations to the following posts in Scholar. Those marked * might be different from your article during 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 dealing with essentially the most challenging era of local climate alter over and above exactly what is obvious within the pre-industrial age. Though Africa's share of world greenhouse gasoline (GHG) is negligible, the…
The following content are merged in Scholar. Their combined citations are counted only for the primary article.
Toward attack-resistant Jiahao Shen KCL route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Discovering solution
A not-for-earnings Group, IEEE is the world's greatest complex Experienced Business focused on advancing technological know-how for the good thing about humanity.
A QoE-driven multicast method with section routing—A novel multimedia website traffic engineering paradigm
The existing period is struggling with a dilemma relating to engaging the essentialities of Power sources to attain economic prosperity on account of the following environmental difficulties. As a result, sectors…
An optimized quantum bare minimum seeking algorithm with confident-results probability 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 ahead-hunting superresolution imaging based upon the Weibull distribution for a sea-surface target
This "Cited by" rely contains citations to the following content articles in Scholar. The ones marked * may be various from the article 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。
Ways to disturb community reconnaissance: a relocating goal protection technique determined by deep reinforcement Understanding