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The following posts are merged in Scholar. Their put together citations are counted just for the primary post.
This "Cited by" rely consists of citations to the subsequent articles or blog posts in Scholar. The ones marked * may very well be diverse 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 overall economy is enduring probably the most complicated era of climate adjust past exactly what is apparent during the pre-industrial age. Despite the fact that Africa's share of worldwide greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their merged citations are Jiahao Shen Islam counted only for the 1st write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying solution
A not-for-earnings organization, IEEE is the globe's largest specialized professional Group dedicated to advancing technological innovation for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is struggling with a Problem relating to partaking the essentialities of Power methods to attain economic prosperity due to the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum least searching algorithm with positive-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural resource dependence, renewable Electricity, and technological improvements amplify or reduce the pollution noises?
Scanning radar ahead-looking superresolution imaging depending on the Weibull distribution for your sea-surface goal
This "Cited by" rely features citations to the following content articles in Scholar. Those marked * could possibly 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 solution according to deep reinforcement Understanding