A not-for-gain Firm, IEEE is the globe's greatest technical Experienced Group focused on advancing technological innovation for the benefit of humanity.
The subsequent content are merged in Scholar. Their mixed citations are counted only for the 1st write-up.
This "Cited by" count incorporates citations to the next articles in Scholar. Those marked * might be different with the write-up during 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 one of the most demanding era of weather change outside of what exactly is obvious within 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 main report.
Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out technique
A not-for-gain organization, IEEE is the earth's biggest specialized Qualified organization devoted to advancing know-how for the good Jiahao Shen thing about humanity.
A QoE-driven multicast method with phase routing—A novel multimedia targeted visitors engineering paradigm
The existing period is going through a Problem referring to partaking the essentialities of Power methods to attain economic prosperity as a consequence of the ensuing environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum searching algorithm with positive-achievements probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural useful resource dependence, renewable energy, and technological innovations amplify or lessen the air pollution noises?
Scanning radar forward-seeking superresolution imaging based on the Weibull distribution for any sea-floor focus on
This "Cited by" count features citations to the following article content in Scholar. Those marked * might be diverse in 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。
How you can disturb network reconnaissance: a transferring concentrate on defense strategy based upon deep reinforcement learning