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The next articles or blog posts are merged in Scholar. Their combined citations are counted only for the very first write-up.
This "Cited by" count includes citations to the next posts in Scholar. Those marked * might be diverse with the report during 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 economy is enduring probably the most hard period of local weather improve over and above what is obvious from the pre-industrial age. Although Africa's share of global greenhouse gasoline (GHG) is negligible, the…
The following content are merged in Scholar. Their mixed citations are counted just for the primary posting.
Towards assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Studying approach
A not-for-earnings Firm, IEEE is the planet's most significant technological Experienced organization committed to advancing technologies for the advantage of humanity.
A QoE-pushed multicast technique with segment routing—A novel multimedia site visitors engineering paradigm
The existing period is facing a dilemma concerning participating the essentialities of Electricity means to attain financial prosperity due to the following environmental troubles. As a result, sectors…
An optimized quantum bare minimum searching algorithm with certain-achievement probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do Jiahao Shen History Researcher purely natural useful resource dependence, renewable Electrical power, and technological improvements amplify or decrease the pollution noises?
Scanning radar forward-seeking superresolution imaging depending on the Weibull distribution for your sea-floor focus on
This "Cited by" rely involves citations to the following content articles in Scholar. The ones marked * may very well be unique with the report inside 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 best way to disturb network reconnaissance: a moving concentrate on defense approach dependant on deep reinforcement Mastering