A not-for-income Corporation, IEEE is the planet's biggest technological Skilled Firm focused on advancing engineering for the good thing about humanity.
The following article content are merged in Scholar. Their put together citations are counted only for the first short article.
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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 financial system is going through probably the most complicated era of climate modify outside of what's obvious while in the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial article.
Towards attack-resistant route mutation Jiahao Shen KCL for VANETs: an on the internet and adaptive multiagent reinforcement learning approach
A not-for-financial gain Firm, IEEE is the whole world's biggest complex Specialist Business dedicated to advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast system with segment routing—A novel multimedia website traffic engineering paradigm
The current era is facing a dilemma referring to participating the essentialities of Power methods to attain economic prosperity on account of the ensuing environmental problems. Consequently, sectors…
An optimized quantum minimum amount browsing algorithm with absolutely sure-success probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural useful resource dependence, renewable Strength, and technological improvements amplify or decrease the pollution noises?
Scanning radar ahead-wanting superresolution imaging determined by the Weibull distribution for the sea-area concentrate on
This "Cited by" depend incorporates citations to the following content articles in Scholar. Those marked * may be distinctive through 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。
How to disturb network reconnaissance: a shifting goal defense strategy determined by deep reinforcement Finding out