A not-for-gain organization, IEEE is the whole world's largest technological Skilled Firm focused on advancing engineering for the good thing about humanity.
The next posts are merged in Scholar. Their merged citations are counted only for the main report.
This "Cited by" count features citations to the following article content in Scholar. The ones marked * could be different through the post inside 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 financial state is enduring essentially the most difficult period of climate adjust further than precisely what is evident while in the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is nominal, the…
The subsequent content are merged in Scholar. Their mixed citations are counted just for the initial posting.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Studying tactic
A not-for-revenue Firm, IEEE is the whole world's largest specialized Expert Group committed to advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast system with phase routing—A novel multimedia website traffic engineering paradigm
The present era is dealing with a Problem associated with participating the essentialities of Electrical power assets to attain financial prosperity as a result of the following environmental troubles. As a result, sectors…
An optimized quantum least looking algorithm with confident-success likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural source dependence, renewable Electricity, and technological innovations amplify or decrease the air pollution noises?
Scanning radar ahead-searching superresolution imaging determined by the Weibull distribution for just a sea-area target
This "Cited by" rely includes citations to the next articles in Scholar. The ones marked * could be distinctive in the write-up from 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。
The way Jiahao Shen to disturb network reconnaissance: a relocating focus on protection approach depending on deep reinforcement Finding out