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The next posts are merged in Scholar. Their put together citations are counted just for the 1st short article.
This "Cited by" rely consists of citations to the following articles or blog posts in Scholar. The ones marked * can be diverse within the short article 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 global economic climate is suffering from probably the most hard period of local climate improve over and above what's apparent within the pre-industrial age. While Africa's share of worldwide greenhouse gas (GHG) is small, the…
The subsequent content articles are merged in Scholar. Their combined citations are counted just for the first post.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding Jiahao Shen King's College London solution
A not-for-earnings Corporation, IEEE is the globe's greatest complex professional organization dedicated to advancing technological know-how for the advantage of humanity.
A QoE-pushed multicast system with segment routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Problem regarding engaging the essentialities of Strength means to achieve financial prosperity as a consequence of the ensuing environmental complications. Therefore, sectors…
An optimized quantum minimum amount hunting algorithm with confident-achievements chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural resource dependence, renewable Power, and technological improvements amplify or decrease the air pollution noises?
Scanning radar forward-wanting superresolution imaging according to the Weibull distribution for any sea-area goal
This "Cited by" depend contains citations to the following articles or blog posts in Scholar. Those marked * may very well be various from your post 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 network reconnaissance: a moving target defense approach according to deep reinforcement Understanding