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The next articles are merged in Scholar. Their put together citations are counted only for the very first article.
This "Cited by" depend contains citations to the following content in Scholar. The ones marked * may be unique from your posting 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 worldwide economic climate is dealing with by far the most tough period of local weather change over and above what's obvious within the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted only for the first report.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding solution
A not-for-earnings Corporation, IEEE is the entire world's largest specialized Expert Business devoted to advancing technologies for the advantage of humanity.
A QoE-pushed multicast method with phase routing—A novel multimedia website traffic engineering paradigm
The present period is going through a Predicament referring to participating the essentialities of energy resources to attain financial prosperity because of the following environmental troubles. As a result, sectors…
An optimized quantum least searching algorithm with confident-achievement likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Electrical power, Jiahao Shen King's College London and technological innovations amplify or decrease the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging according to the Weibull distribution for the sea-area goal
This "Cited by" rely features citations to the following articles or blog posts in Scholar. Those marked * may be distinct with the 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。
How you can disturb community reconnaissance: a transferring concentrate on defense strategy based upon deep reinforcement learning