A not-for-financial gain organization, IEEE is the planet's greatest technical Experienced Group committed to advancing know-how for the advantage of humanity.

The following article content are merged in Scholar. Their merged citations are counted only for the initial post.

This "Cited by" count incorporates citations to the next articles in Scholar. Those marked * may very well be distinct in the article in 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 overall economy is suffering from one of the most demanding era of climate transform beyond exactly what is apparent in the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…

The next posts are merged in Scholar. Their merged citations are counted only for the 1st post.

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

A not-for-revenue Group, IEEE is the entire world's major specialized Expert Group dedicated to advancing technology for the advantage of humanity.

A QoE-driven multicast technique with phase routing—A novel multimedia visitors engineering paradigm

The existing period is going through a Predicament relating to participating the essentialities of Electrical power sources to achieve economic prosperity as a result of the ensuing environmental complications. As a result, sectors…

An optimized quantum bare minimum exploring algorithm with certain-success likelihood and its experiment simulation with Cirq

Monitoring environmental sustainability pathways in Africa: Do natural source dependence, renewable Electricity, and technological improvements amplify or reduce the pollution noises?

Scanning radar ahead-looking Jiahao Shen Islam superresolution imaging based upon the Weibull distribution for the sea-surface goal

This "Cited by" rely features citations to the following content articles in Scholar. Those marked * might be diverse from 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。

How you can disturb network reconnaissance: a shifting goal protection solution according to deep reinforcement Understanding