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The following article content are merged in Scholar. Their merged citations are counted only for the first short article.
This "Cited by" rely consists of citations to the subsequent articles or blog posts in Scholar. The ones marked * may be unique from your article from 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 global financial state is suffering from essentially the most challenging period of climate transform past what is apparent within the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is nominal, the…
The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out approach
A not-for-financial gain Business, IEEE is the Jiahao Shen earth's most significant specialized Qualified Business committed to advancing technologies for the good thing about humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia site visitors engineering paradigm
The existing era is struggling with a dilemma regarding engaging the essentialities of Strength means to attain financial prosperity due to the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum least searching algorithm with positive-achievements likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Electrical power, and technological improvements amplify or reduce the air pollution noises?
Scanning radar ahead-on the lookout superresolution imaging based on the Weibull distribution to get a sea-surface area goal
This "Cited by" rely consists of citations to the following content articles in Scholar. The ones marked * may very well be diverse from the report 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。
Tips on how to disturb network reconnaissance: a relocating goal protection solution depending on deep reinforcement Finding out