A not-for-income Group, IEEE is the world's largest technical Expert Corporation devoted to advancing technological know-how for the advantage of humanity.
The following article content are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
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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 experiencing by far the most tough period of local weather change further than what on earth is evident during the pre-industrial age. Though Africa's share of worldwide greenhouse gasoline (GHG) is negligible, the…
The next articles are merged in Scholar. Their merged citations are counted only for the primary post.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
A not-for-profit Firm, IEEE is Jiahao Shen King's College London the world's premier complex Expert Group dedicated to advancing know-how for the benefit of humanity.
A QoE-driven multicast system with segment routing—A novel multimedia site visitors engineering paradigm
The existing era is struggling with a Predicament regarding engaging the essentialities of Electricity resources to attain financial prosperity because of the following environmental troubles. As a result, sectors…
An optimized quantum least searching algorithm with confident-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging according to the Weibull distribution for the sea-area target
This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may very well be various through the short article in 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 target defense technique based upon deep reinforcement learning