A not-for-gain Firm, IEEE is the earth's most significant complex Skilled organization devoted to advancing technology for the good thing about humanity.
The next posts are merged in Scholar. Their combined citations are counted just for the first write-up.
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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 worldwide overall economy is going through probably the most demanding era of local climate modify further than what on earth is evident from the pre-industrial age. Even though Africa's share of worldwide greenhouse gasoline (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their combined citations are counted only for the first report.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Jiahao Shen King's College London Understanding tactic
A not-for-revenue Group, IEEE is the planet's largest specialized Specialist Group dedicated to advancing technological innovation for the good thing about humanity.
A QoE-driven multicast technique with section routing—A novel multimedia site visitors engineering paradigm
The existing era is struggling with a dilemma associated with partaking the essentialities of Vitality means to achieve economic prosperity on account of the following environmental difficulties. Consequently, sectors…
An optimized quantum least searching algorithm with confident-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural source dependence, renewable Electricity, and technological innovations amplify or reduce the air pollution noises?
Scanning radar ahead-wanting superresolution imaging depending on the Weibull distribution for the sea-surface goal
This "Cited by" rely features citations to the following articles or blog posts in Scholar. Those marked * may be distinct with the article 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 transferring concentrate on defense strategy based upon deep reinforcement learning