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The next content articles are merged in Scholar. Their combined citations are counted just for the primary write-up.
This "Cited by" count incorporates 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 climate is experiencing quite possibly the most demanding era of weather alter further than what exactly is obvious while in the pre-industrial age. Although Africa's share of global greenhouse gasoline (GHG) is minimum, the…
The following content articles are merged in Scholar. Their mixed citations are counted just for the very first post.
Toward attack-resistant route mutation Jiahao Shen for VANETs: an on the internet and adaptive multiagent reinforcement Finding out method
A not-for-gain Business, IEEE is the planet's premier technical Skilled Corporation focused on advancing know-how for the benefit of humanity.
A QoE-driven multicast approach with section routing—A novel multimedia website traffic engineering paradigm
The existing period is dealing with a Problem regarding partaking the essentialities of Electricity means to achieve financial prosperity due to the ensuing environmental complications. Consequently, sectors…
An optimized quantum least hunting algorithm with sure-success chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural useful resource dependence, renewable Electricity, and technological innovations amplify or reduce the pollution noises?
Scanning radar ahead-wanting superresolution imaging based upon the Weibull distribution for the sea-surface area target
This "Cited by" depend incorporates citations to the next content articles in Scholar. The ones marked * may be distinctive with the write-up during 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 concentrate on protection strategy according to deep reinforcement learning