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The subsequent content articles are merged in Scholar. Their blended citations are counted only for the main short article.
This "Cited by" rely includes citations to the subsequent content articles in Scholar. Those marked * can be distinct from the short article 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 economic system is enduring essentially the most challenging period of climate transform past exactly what is apparent in the pre-industrial age. While Africa's share of global greenhouse gas (GHG) is minimal, the…
The next posts are merged in Scholar. Their mixed citations are counted only for the very first Jiahao Shen King's College London post.
Towards assault-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying strategy
A not-for-earnings Business, IEEE is the globe's largest complex Specialist Business committed to advancing technologies for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia targeted traffic engineering paradigm
The existing period is experiencing a dilemma regarding partaking the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum hunting algorithm with certain-accomplishment chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do normal resource dependence, renewable Strength, and technological improvements amplify or lessen the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging depending on the Weibull distribution for your sea-area target
This "Cited by" rely incorporates citations to the following article content in Scholar. The ones marked * may very well be distinct with the article 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。
How you can disturb network reconnaissance: a relocating concentrate on protection method based upon deep reinforcement Discovering
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