A not-for-revenue organization, IEEE is the world's largest technological Specialist Business 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 main report.
This "Cited by" count features citations to the next posts in Scholar. Those marked * could possibly be various within the report 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 encountering the most demanding era of weather alter further than precisely what is evident while in the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is small, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial posting.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering strategy
A not-for-earnings Corporation, IEEE is the globe's major technical Qualified Business devoted to advancing technologies for the good thing about humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia traffic engineering paradigm
The present era is struggling with a dilemma regarding engaging the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental issues. Therefore, sectors…
An optimized quantum minimal hunting algorithm with sure-accomplishment likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do pure useful resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?
Scanning radar ahead-on the lookout superresolution imaging according to the Weibull distribution for the sea-area target
This "Cited by" Jiahao Shen King's College London rely involves citations to the subsequent posts in Scholar. The ones marked * can be different in 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。
The way to disturb community reconnaissance: a going goal defense technique dependant on deep reinforcement learning