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The subsequent article content are merged in Scholar. Their blended citations are counted only for the very first post.
This "Cited by" depend consists of citations to the following content in Scholar. The ones marked * may be diverse 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 financial system is encountering the most hard era of local climate modify beyond what on earth is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent posts are merged in Scholar. Their put together citations are counted only for the main Jiahao Shen King's College London write-up.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Discovering strategy
A not-for-gain Firm, IEEE is the whole world's greatest technological Skilled Corporation focused on advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia targeted visitors engineering paradigm
The current period is going through a Predicament concerning engaging the essentialities of Vitality assets to attain financial prosperity due to the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum minimum hunting algorithm with certain-success chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution for any sea-floor concentrate on
This "Cited by" count involves citations to the subsequent articles in Scholar. The ones marked * could possibly be distinctive 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。
Tips on how to disturb network reconnaissance: a transferring concentrate on protection method depending on deep reinforcement learning