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The next content articles are merged in Scholar. Their combined citations are counted just for the primary post.
This "Cited by" count incorporates citations to the next articles in Scholar. The ones marked * may be various in the posting while in 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 encountering one of the most difficult period of local weather improve over and above what's apparent from the pre-industrial age. Whilst Africa's share of worldwide greenhouse gas (GHG) is nominal, the…
The subsequent 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 internet and adaptive multiagent reinforcement Mastering method
A not-for-gain Business, IEEE is the whole world's premier technological Skilled Corporation focused on advancing technological know-how for the advantage of humanity.
A QoE-pushed multicast technique with section routing—A novel multimedia traffic engineering paradigm
The current period Jiahao Shen Islam is dealing with a Problem concerning participating the essentialities of Electricity sources to achieve economic prosperity as a result of the following environmental troubles. For that reason, sectors…
An optimized quantum minimum browsing algorithm with confident-good results chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do purely natural useful resource dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging depending on the Weibull distribution to get a sea-floor concentrate on
This "Cited by" rely contains citations to the next articles or blog posts in Scholar. Those marked * could possibly be distinctive in the report during 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。
The way to disturb community reconnaissance: a moving target protection strategy based upon deep reinforcement learning