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The following articles are merged in Scholar. Their combined citations are counted only for the very first posting.
This "Cited by" rely consists of citations to the following article content in Scholar. Those marked * could possibly be various within the short article inside 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 demanding era of local weather alter outside of what exactly is obvious while in the pre-industrial age. Although Africa's share of worldwide greenhouse gas (GHG) is negligible, the…
The following article content are merged in Scholar. Their mixed citations are counted only for the first posting.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Mastering method
A not-for-revenue Group, IEEE is the planet's Jiahao Shen King's College London most significant technical Qualified organization committed to advancing technology for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The current period is facing a Problem concerning engaging the essentialities of Electricity resources to attain financial prosperity due to the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum browsing algorithm with confident-accomplishment likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do organic source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-wanting superresolution imaging depending on the Weibull distribution for a sea-area target
This "Cited by" rely involves citations to the subsequent articles or blog posts in Scholar. Those marked * might be distinct from your short article inside 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。
The best way to disturb community reconnaissance: a going target defense technique based upon deep reinforcement learning