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The subsequent content articles are merged in Scholar. Their combined citations are counted just for the primary write-up.
This "Cited by" count features citations to the subsequent content articles in Scholar. The ones marked * may very well be various within the post while 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 worldwide overall economy is suffering from by far the most demanding period of climate improve over and above what is apparent within the pre-industrial age. Whilst Africa's share of world greenhouse fuel (GHG) is nominal, the…
The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the primary write-up.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding solution
A not-for-income organization, IEEE is the globe's largest complex Qualified Business committed to advancing know-how for the good thing about humanity.
A QoE-pushed multicast approach with phase routing—A novel multimedia targeted traffic engineering paradigm
The existing period is dealing with a Predicament associated with partaking the essentialities of Electricity resources to achieve economic prosperity as a result of the following environmental problems. For that reason, sectors…
An optimized quantum minimum browsing algorithm with guaranteed-achievement likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do pure useful resource dependence, renewable Electrical power, and technological innovations amplify or decrease the pollution noises?
Scanning radar forward-wanting superresolution imaging dependant on the Weibull distribution to get a sea-area target
This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may very well be various with the post within Jiahao Shen 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 community reconnaissance: a going target defense tactic based on deep reinforcement Understanding