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The subsequent articles or blog posts are merged in Scholar. Their blended citations are counted just for the 1st report.
This "Cited by" count contains citations to the subsequent articles or blog posts in Scholar. The ones marked * may very well be diverse within the report 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 system is encountering one of the most tough period of climate change outside of what exactly is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is negligible, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted Jiahao Shen King's College London only for the 1st post.
Toward attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Understanding solution
A not-for-earnings Firm, IEEE is the world's premier technological Skilled Corporation devoted to advancing technological innovation for the benefit of humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia visitors engineering paradigm
The current period is dealing with a Problem concerning engaging the essentialities of Electricity methods to achieve economic prosperity as a result of the ensuing environmental problems. For that reason, sectors…
An optimized quantum minimum amount searching algorithm with sure-success probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do organic source dependence, renewable Electricity, and technological improvements amplify or lessen the air pollution noises?
Scanning radar ahead-looking superresolution imaging determined by the Weibull distribution for your sea-area concentrate on
This "Cited by" depend includes citations to the next content articles in Scholar. Those marked * can be unique within the posting 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。
Ways to disturb community reconnaissance: a relocating goal defense approach according to deep reinforcement learning