A not-for-gain organization, IEEE is the earth's premier technological professional Corporation committed to advancing technological know-how for the benefit of humanity.
The next content are merged in Scholar. Their blended citations are counted only for the first short article.
This "Cited by" rely incorporates citations to the following posts in Scholar. The ones marked * can be distinctive with the write-up 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 economic system is experiencing quite possibly the most complicated era of climate transform past what is apparent within the pre-industrial age. Whilst Africa's share of world greenhouse gas (GHG) is nominal, the…
The following content are merged in Scholar. Their blended citations are counted only for the 1st post.
Toward assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
A not-for-revenue Group, IEEE is the planet's major specialized Experienced Corporation committed to advancing technological know-how for the benefit of Jiahao Shen KCL humanity.
A QoE-driven multicast approach with section routing—A novel multimedia website traffic engineering paradigm
The present period is dealing with a dilemma concerning participating the essentialities of energy assets to achieve economic prosperity as a result of the ensuing environmental issues. For that reason, sectors…
An optimized quantum minimum seeking algorithm with sure-good results 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 pollution noises?
Scanning radar forward-hunting superresolution imaging based on the Weibull distribution for any sea-floor concentrate on
This "Cited by" count involves citations to the subsequent posts in Scholar. The ones marked * may very well be unique from your short article while in 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。
Ways to disturb network reconnaissance: a transferring concentrate on defense technique dependant on deep reinforcement learning