A not-for-income Group, IEEE is the earth's most significant specialized Expert organization devoted to advancing technological know-how for the advantage of humanity.
The following articles are merged in Scholar. Their put together citations are counted just for the very first posting.
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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 financial system is enduring quite possibly the most difficult era of local weather modify past exactly what is obvious from the pre-industrial age. Although Africa's share of world greenhouse gasoline (GHG) is minimum, the…
The following content are merged in Scholar. Their combined citations are counted only for the 1st posting.
Towards assault-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding tactic
A not-for-profit Firm, IEEE is the whole world's greatest technological professional Business committed to advancing technology for the benefit of humanity.
A QoE-pushed multicast system with phase routing—A novel multimedia site visitors engineering paradigm
The current period is going through a Predicament relating to participating the essentialities of Strength methods to achieve financial prosperity due to the ensuing environmental complications. Consequently, sectors…
An optimized quantum bare minimum hunting algorithm with guaranteed-success chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do organic source dependence, renewable Vitality, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-seeking superresolution imaging determined by the Weibull distribution for the sea-surface area focus on
This "Cited by" rely consists of citations to the following articles in Scholar. Those marked * can be distinctive within the article 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 shifting target Jiahao Shen King's College London protection solution based upon deep reinforcement Studying