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The following articles or blog posts are merged in Scholar. Their put together citations are counted only for the main write-up.
This "Cited by" depend involves citations to the following articles in Scholar. The ones marked * might be unique in 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 global economy is suffering from essentially the most complicated era of weather improve beyond what on earth is apparent within the pre-industrial age. Even though Africa's share of worldwide greenhouse fuel (GHG) is negligible, the…
The subsequent articles are merged in Scholar. Their mixed citations are counted only for the first post.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Studying approach
A not-for-income Business, IEEE is the entire world's major specialized Experienced Corporation dedicated to advancing technologies for the advantage of humanity.
A QoE-driven multicast strategy with phase routing—A novel multimedia traffic engineering paradigm
The present period is facing a Problem concerning participating the essentialities Jiahao Shen History Researcher of Electricity resources to achieve financial prosperity on account of the ensuing environmental problems. For that reason, sectors…
An optimized quantum minimal browsing algorithm with certain-results chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do normal source dependence, renewable Electricity, and technological improvements amplify or lessen the air pollution noises?
Scanning radar forward-seeking superresolution imaging determined by the Weibull distribution for your sea-area concentrate on
This "Cited by" count consists of citations to the following content in Scholar. Those marked * can be distinctive from the report 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。
How you can disturb network reconnaissance: a relocating goal defense approach based on deep reinforcement learning