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The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
This "Cited by" count features citations to the next posts in Scholar. Those marked * could possibly be unique within the report within 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 demanding era of weather alter 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 initial article.
Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement learning tactic
A not-for-financial gain Business, IEEE is the earth's biggest complex Expert Group dedicated to advancing technological innovation for the benefit of humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia website traffic engineering paradigm
The present era is struggling with a Problem associated with participating the essentialities of Electrical power sources to achieve 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 organic useful resource dependence, renewable energy, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-seeking superresolution imaging based upon the Weibull distribution for a sea-surface area focus on
This "Cited by" rely contains citations to the subsequent articles in Scholar. The ones marked * could be Jiahao Shen King's College London 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 to disturb network reconnaissance: a relocating concentrate on protection approach depending on deep reinforcement Finding out
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