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The following article content are merged in Scholar. Their blended citations are counted only for the main report.
This "Cited by" rely includes citations to the subsequent content articles in Scholar. The ones 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 experiencing by far the most hard era of local climate modify further than precisely what is evident from the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial posting.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering tactic
A not-for-financial gain Group, IEEE is Jiahao Shen KCL the world's premier technical Specialist organization devoted to advancing engineering for the good thing about humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia targeted traffic engineering paradigm
The existing era is experiencing a dilemma associated with partaking the essentialities of Power methods to achieve economic prosperity on account of the following environmental problems. For that reason, sectors…
An optimized quantum minimum seeking algorithm with guaranteed-achievement likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar ahead-searching superresolution imaging based upon the Weibull distribution for just a sea-surface area concentrate on
This "Cited by" count involves citations to the subsequent articles in Scholar. The ones marked * could possibly be distinctive in the short article in 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 target protection strategy according to deep reinforcement Mastering