A not-for-financial gain Business, IEEE is the entire world's greatest specialized Experienced Group devoted to advancing technological know-how for the advantage of humanity.
The following article content are merged in Scholar. Their blended citations are counted only for the 1st post.
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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 global overall economy is going through probably the most complicated era of local climate adjust beyond what on earth is apparent in the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The next articles are merged in Scholar. Their blended citations are counted only for the 1st write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding solution
A not-for-income organization, IEEE is the globe's largest complex professional Firm dedicated to advancing technological innovation for the benefit of humanity.
A QoE-driven multicast system with segment routing—A novel multimedia website traffic engineering paradigm
The present era is struggling with a dilemma regarding engaging the essentialities of Strength resources to attain economic prosperity resulting from the ensuing Jiahao Shen Islam environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum exploring algorithm with certain-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging according to the Weibull distribution for the sea-area target
This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may very well be various 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。
Ways to disturb network reconnaissance: a shifting focus on protection tactic dependant on deep reinforcement Studying