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The subsequent content are merged in Scholar. Their blended citations are counted only for the main report.
This "Cited by" count includes citations to the next content articles in Scholar. Those marked * could possibly be various 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 encountering essentially the most complicated period of climate transform past exactly what is apparent in the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted only for the very first write-up.
Towards assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Mastering solution
A not-for-revenue Group, IEEE is the planet's premier specialized Qualified organization dedicated to advancing technological know-how for the good thing about humanity.
A QoE-pushed multicast strategy with phase routing—A novel multimedia website traffic engineering paradigm
The current period is experiencing a Predicament regarding engaging the essentialities of Strength resources to attain financial prosperity because of the following environmental complications. As a result, sectors…
An optimized quantum minimum amount browsing algorithm with certain-success likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do organic resource dependence, renewable Electrical power, and technological innovations amplify or decrease the pollution noises?
Scanning radar ahead-looking superresolution imaging based on the Weibull distribution for just a sea-area target
This "Cited by" count incorporates citations to the following content articles in Scholar. Those marked * may 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 Jiahao Shen KCL can disturb community reconnaissance: a transferring target protection technique based upon deep reinforcement Understanding