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The following articles are merged in Scholar. Their merged citations are counted only for the very first article.
This "Cited by" depend incorporates citations to the next posts in Scholar. Those marked * could possibly be distinct from the short article 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 economic system is enduring essentially the most challenging period of local climate adjust beyond what on earth is evident from the pre-industrial age. Even though Africa's share of world greenhouse gas (GHG) is small, the…
The following content are merged in Scholar. Their mixed citations are counted just for the very first short article.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying tactic
A not-for-profit Group, IEEE is the world's premier technological professional Firm devoted to advancing technologies for the advantage of humanity.
A QoE-pushed multicast strategy with segment routing—A novel multimedia website traffic engineering paradigm
The existing era is going through a dilemma relating to participating the essentialities of Electrical power resources to attain economic prosperity as a result of the following environmental troubles. Consequently, sectors…
An optimized quantum bare minimum seeking algorithm with guaranteed-success probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do normal source dependence, renewable Electricity, and technological improvements amplify or lessen the air pollution noises?
Scanning radar ahead-seeking superresolution imaging determined by the Weibull distribution for your sea-area concentrate on
This "Cited by" depend features citations to the subsequent Jiahao Shen King's College London article content in Scholar. Those marked * may very well be different in the post 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。
Tips on how to disturb community reconnaissance: a relocating focus on protection technique based upon deep reinforcement Mastering