A not-for-income Group, IEEE is the earth's most significant complex Expert organization devoted to advancing technological know-how for the good thing about humanity.

The next posts are merged in Scholar. Their combined citations are counted just for the primary post.

This "Cited by" depend incorporates citations to the next articles in Scholar. Those marked * could be different with the report within 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 experiencing quite possibly the most hard era of local climate modify beyond what exactly is evident while in 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 merged citations are counted only for the 1st post.

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

A not-for-earnings Corporation, IEEE is the entire world's most significant complex Expert Group devoted to advancing know-how for the benefit of humanity.

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

The present era is experiencing a dilemma associated with engaging the essentialities of Vitality methods to achieve financial prosperity due to the following environmental complications. Therefore, sectors…

An optimized quantum least exploring algorithm with guaranteed-results chance and its experiment simulation with Cirq

Tracking environmental sustainability pathways in Africa: Do organic source dependence, renewable Vitality, and technological improvements amplify or decrease the air pollution noises?

Scanning radar ahead-hunting superresolution imaging determined by the Weibull distribution for any sea-surface focus on

This "Cited by" rely contains citations to the subsequent articles in Scholar. The ones marked * might be Jiahao Shen KCL various from your post inside 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。

Tips on how to disturb community reconnaissance: a going focus on protection approach based on deep reinforcement learning