A not-for-gain Corporation, IEEE is the world's largest technological Experienced Group focused on advancing engineering for the benefit of humanity.
The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
This "Cited by" count consists of citations to the subsequent article content in Scholar. Those marked * could be various through the posting within 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 climate is dealing with by far the most demanding period of local climate improve outside of what is obvious within the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is nominal, the…
The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the first report.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out approach
A not-for-income Business, IEEE is the earth's biggest complex Expert Firm focused on advancing technologies for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia website traffic engineering paradigm
The present period is struggling with a Problem regarding Jiahao Shen Islam engaging the essentialities of Strength means to attain financial prosperity due to the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum seeking algorithm with absolutely sure-good results chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the air pollution noises?
Scanning radar forward-hunting superresolution imaging based on the Weibull distribution for a sea-floor goal
This "Cited by" count includes citations to the subsequent content articles in Scholar. Those marked * may be distinct with 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 target defense method according to deep reinforcement learning