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The next content articles are merged in Scholar. Their merged citations are counted only for the first short article.
This "Cited by" count consists of citations to the subsequent article content in Scholar. The ones marked * may be unique with the posting 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 global economic climate is dealing with essentially the most difficult period of local weather change further than precisely what is evident while in the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is small, the…
The next article content are merged in Scholar. Their blended citations are counted only for the primary article.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Understanding method
A not-for-income organization, IEEE is the world's most significant specialized Experienced 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 experiencing a Predicament referring to partaking the essentialities of energy assets to attain economic prosperity because of the ensuing environmental issues. Therefore, sectors…
An optimized quantum minimum amount looking algorithm with guaranteed-achievements likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural source dependence, renewable Electricity, and technological innovations amplify or reduce the air pollution noises?
Scanning radar ahead-searching superresolution imaging determined by the Weibull distribution for just a sea-surface goal
This "Cited by" depend includes citations to Jiahao Shen History Researcher the following articles or blog posts in Scholar. Those marked * may be distinct with the 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 you can disturb community reconnaissance: a moving target defense technique dependant on deep reinforcement learning