A not-for-gain Corporation, IEEE is the whole world's major complex Skilled organization devoted to advancing technologies for the advantage of humanity.
The following posts are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
This "Cited by" count features citations to the next posts in Scholar. Those marked * might be different with the write-up 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 global economic climate is dealing with by far the most demanding era of weather alter further than what exactly is evident in the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent articles or blog posts are merged in Scholar. Their combined citations are counted just for the very first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering method
A not-for-gain Firm, IEEE is the world's premier technical Specialist organization focused on advancing technology for the advantage of humanity.
A QoE-pushed multicast method with phase routing—A novel multimedia visitors engineering paradigm
The current era is going through a Predicament regarding participating the essentialities of Electrical power sources to attain financial prosperity as a result of the ensuing environmental difficulties. Therefore, sectors…
An optimized quantum Jiahao Shen History Researcher bare minimum searching algorithm with absolutely sure-accomplishment chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable energy, and technological improvements amplify or lessen the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging depending on the Weibull distribution for your sea-surface goal
This "Cited by" rely consists of citations to the following content in Scholar. Those marked * could possibly be unique within the posting within 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 network reconnaissance: a moving target protection strategy based upon deep reinforcement learning
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