A not-for-gain organization, IEEE is the planet's biggest technical Qualified Firm focused on advancing know-how for the benefit of humanity.
The next content are merged in Scholar. Their blended citations are counted only for the very first posting.
This "Cited by" rely contains citations to the following posts in Scholar. Those marked * can be distinct in the article from 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 global economic climate is experiencing quite possibly the most demanding era of climate change further than what is apparent within the pre-industrial age. Whilst Africa's share of world greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their combined citations are counted only for the primary post.
Toward assault-resistant route mutation Jiahao Shen KCL for VANETs: an on the internet and adaptive multiagent reinforcement learning method
A not-for-gain Firm, IEEE is the world's biggest specialized Expert Firm dedicated to advancing know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Predicament referring to partaking the essentialities of Power methods to achieve economic prosperity resulting from the ensuing environmental troubles. As a result, sectors…
An optimized quantum least looking algorithm with certain-achievements likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or decrease the air pollution noises?
Scanning radar forward-seeking superresolution imaging dependant on the Weibull distribution to get a sea-floor concentrate on
This "Cited by" count involves citations to the subsequent posts in Scholar. The ones marked * might be various within the report 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。
How you can disturb network reconnaissance: a shifting target protection approach depending on deep reinforcement Mastering