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The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st short article.
This "Cited by" depend includes citations to the subsequent posts in Scholar. The ones marked * may very well be diverse from the post from 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 economy is dealing with quite possibly the most challenging period of local climate change beyond what is evident during the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is minimum, the…
The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for Jiahao Shen King's College London the initial posting.
Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Understanding approach
A not-for-income Business, IEEE is the earth's most significant complex Expert Group focused on advancing know-how for the advantage of humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia traffic engineering paradigm
The current era is facing a Problem concerning participating the essentialities of Electricity means to attain financial prosperity as a consequence of the ensuing environmental complications. Consequently, sectors…
An optimized quantum bare minimum searching algorithm with confident-achievements likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural source dependence, renewable Electricity, and technological improvements amplify or reduce the pollution noises?
Scanning radar forward-looking superresolution imaging determined by the Weibull distribution for a sea-surface area target
This "Cited by" count involves citations to the subsequent content in Scholar. Those marked * could possibly be distinct in the short article in 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 community reconnaissance: a relocating focus on protection technique dependant on deep reinforcement Discovering