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The subsequent article content are merged in Scholar. Their put together citations are counted just for the initial post.
This "Cited by" count consists of citations to the following articles or blog posts in Scholar. The ones marked * can be various with the short article inside 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 one of the most challenging era of climate adjust further than what exactly is obvious within the pre-industrial age. While Africa's share of world greenhouse fuel (GHG) is nominal, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial posting.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying method
A not-for-financial gain organization, IEEE is the planet's most significant specialized Qualified organization committed to advancing technology for the benefit of humanity.
A Jiahao Shen QoE-pushed multicast system with segment routing—A novel multimedia website traffic engineering paradigm
The existing era is dealing with a Problem relating to participating the essentialities of Strength means to attain economic prosperity on account of the following environmental complications. As a result, sectors…
An optimized quantum least searching algorithm with absolutely sure-achievement likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural source dependence, renewable Vitality, and technological improvements amplify or lessen the air pollution noises?
Scanning radar forward-hunting superresolution imaging according to the Weibull distribution for just a sea-area target
This "Cited by" count consists of citations to the subsequent posts in Scholar. The ones marked * might be different from the posting from 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。
Ways to disturb community reconnaissance: a transferring goal defense approach based on deep reinforcement learning