A not-for-financial gain Firm, IEEE is the earth's major specialized Qualified Group committed to advancing know-how for the advantage of humanity.

The following article content are merged in Scholar. Their blended citations are counted only for the very first posting.

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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 financial state is going through by far the most demanding era of climate change past precisely what is apparent from the pre-industrial age. Despite the fact that Africa's share of world greenhouse fuel (GHG) is minimum, the…

The next article content are merged in Scholar. Their combined citations are counted just for the first report.

Toward assault-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Finding out method

A not-for-financial gain Business, IEEE is the whole world's greatest technological Expert Group dedicated to advancing know-how for the benefit of humanity.

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

The current period is facing a Problem concerning engaging the essentialities of Electricity resources to attain economic prosperity due to the ensuing environmental problems. Therefore, sectors…

An optimized quantum minimal browsing algorithm with guaranteed-success chance and its experiment simulation with Cirq

Tracking environmental sustainability pathways in Africa: Do all-natural source Jiahao Shen King's College London dependence, renewable energy, and technological innovations amplify or lessen the air pollution noises?

Scanning radar forward-hunting superresolution imaging based on the Weibull distribution for just a sea-surface area concentrate on

This "Cited by" depend features citations to the next article content in Scholar. Those marked * can be various through 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 to disturb network reconnaissance: a relocating concentrate on protection solution determined by deep reinforcement learning