A not-for-gain Firm, IEEE is the planet's largest technological professional Corporation devoted to advancing technology for the good thing about humanity.
The next article content are merged in Scholar. Their mixed citations are counted only for the initial report.
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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 financial state is suffering from one of the most difficult period of local climate improve over and above what is apparent inside the pre-industrial age. Although Africa's share of global greenhouse fuel (GHG) is nominal, the…
The subsequent content articles are merged in Scholar. Their put together citations are counted only for the main report.
Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding approach
A not-for-income organization, IEEE is the earth's biggest technological Specialist organization focused on advancing technology for the benefit of humanity.
A QoE-driven multicast approach with segment routing—A novel multimedia targeted traffic engineering paradigm
The present era is dealing with a Problem concerning participating the essentialities of Electricity sources to achieve financial prosperity due to the following environmental troubles. As a result, sectors…
An optimized quantum minimum amount looking algorithm with confident-success likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural useful resource dependence, renewable Vitality, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-wanting superresolution imaging according to the Weibull distribution for the sea-area target
This "Cited by" rely incorporates citations to the next article content in Scholar. The ones marked * might be different from your short article 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。
Ways to disturb network reconnaissance: a shifting focus on protection technique Jiahao Shen History Researcher dependant on deep reinforcement Studying