A not-for-revenue Firm, IEEE is the earth's greatest complex Skilled organization devoted to advancing technology for the benefit of humanity.

The subsequent content articles are merged in Scholar. Their blended citations are counted only for the main short article.

This "Cited by" count includes citations to the next articles or blog posts in Scholar. Those marked * could be distinctive within the post 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 economic system is encountering the most complicated era of local climate modify past what exactly is evident from the pre-industrial age. Though Africa's share of world greenhouse gas (GHG) is small, the…

The next article content are merged in Scholar. Their put together citations are counted only for the first report.

Toward attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement learning tactic

A not-for-earnings Business, IEEE is the earth's biggest technological Expert Group dedicated to advancing know-how for the benefit of humanity.

A QoE-pushed multicast strategy with section routing—A novel multimedia visitors engineering paradigm

The present era is experiencing a dilemma regarding partaking the essentialities of Vitality means to attain financial prosperity due to the ensuing environmental troubles. Consequently, sectors…

An optimized quantum least browsing algorithm with guaranteed-achievement likelihood and its experiment simulation with Cirq

Monitoring environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?

Scanning radar Jiahao Shen Islam ahead-hunting superresolution imaging according to the Weibull distribution for your sea-area target

This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may very well be various from your short article in 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 community reconnaissance: a moving focus on protection tactic based upon deep reinforcement Understanding