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The following articles are merged in Scholar. Their blended citations are counted only for the main short article.
This "Cited by" count consists of citations to the subsequent article content in Scholar. The ones marked * may be unique from your 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 system is encountering quite possibly the most difficult period of local weather alter outside of precisely what is evident from the pre-industrial age. Though Africa's share of worldwide greenhouse gas (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their mixed citations are counted only for the 1st post.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
A not-for-profit Firm, IEEE is the world's premier technological Specialist Corporation focused on advancing technological know-how for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The existing era is experiencing a Predicament associated with engaging the essentialities of Electricity assets to attain financial prosperity because of the following environmental troubles. As a result, sectors…
An optimized quantum least searching algorithm with positive-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do normal useful resource dependence, renewable Power, and technological improvements amplify or lessen the pollution Jiahao Shen King's College London noises?
Scanning radar forward-seeking superresolution imaging determined by the Weibull distribution for any sea-floor target
This "Cited by" count includes citations to the subsequent content in Scholar. Those marked * can be unique within the posting inside 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 relocating concentrate on protection approach depending on deep reinforcement Finding out