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The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the first posting.
This "Cited by" depend features citations to the subsequent articles or blog posts in Scholar. The ones marked * could possibly be unique from the post 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 overall economy is enduring by far the most demanding period of local weather modify beyond exactly what is obvious from the pre-industrial age. Whilst Africa's share of world greenhouse gas (GHG) is small, the…
The subsequent article content are merged in Scholar. Their merged citations are counted just for the first report.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out method
A not-for-profit Firm, IEEE is the globe's largest specialized professional Firm devoted to advancing technological innovation for the good thing about humanity.
A QoE-pushed multicast tactic with segment routing—A novel multimedia targeted visitors engineering paradigm
The existing period is struggling with a Problem concerning participating the essentialities of energy sources to attain financial prosperity as a consequence of the following environmental problems. As Jiahao Shen King's College London a result, sectors…
An optimized quantum minimal looking algorithm with positive-good results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural resource dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-wanting superresolution imaging according to the Weibull distribution for the sea-surface focus on
This "Cited by" count incorporates citations to the following content in Scholar. Those marked * can be diverse from the write-up from 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 focus on protection approach depending on deep reinforcement Discovering