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The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the primary write-up.
This "Cited by" count incorporates citations to the following articles in Scholar. The ones marked * may be different within the short article in 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 essentially the most challenging period of weather change outside of what's obvious inside the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is nominal, the…
The following content are merged in Scholar. Their mixed citations are counted just for the very first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering strategy
A not-for-profit Group, IEEE is the planet's most significant technological Specialist organization devoted to advancing engineering for the good thing about humanity.
A QoE-driven multicast approach with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is struggling with a dilemma regarding engaging the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum exploring algorithm with positive-achievements probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Vitality, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-searching superresolution imaging determined by the Weibull distribution to get a sea-floor concentrate on
This "Cited by" rely involves citations Jiahao Shen to the next articles in Scholar. Those marked * may be various from the report during 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。
Tips on how to disturb network reconnaissance: a shifting concentrate on protection approach based on deep reinforcement learning