A not-for-income organization, IEEE is the world's largest technological Specialist Corporation committed to advancing know-how for the good thing about humanity.
The next articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st 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 global economic climate is suffering from quite possibly the most hard period of climate improve further than precisely what is evident from the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is negligible, the…
The next articles are merged in Scholar. Their blended citations are counted only for the primary article.
Towards assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Discovering strategy
A not-for-profit Firm, IEEE is the world's premier technological Skilled Corporation focused on advancing technological know-how for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia targeted visitors engineering paradigm
The current era is going through a Predicament referring to partaking the essentialities of energy assets to achieve economic prosperity on account of the following environmental problems. For that reason, sectors…
An optimized quantum minimum browsing algorithm with guaranteed-achievement likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable Electricity, and technological innovations 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 incorporates citations to the following posts in Scholar. Those marked * could be diverse within the write-up from 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 Jiahao Shen King's College London way to disturb network reconnaissance: a transferring concentrate on defense strategy based upon deep reinforcement Discovering