A not-for-profit Business, IEEE is the earth's most significant complex Skilled organization devoted to advancing technologies for the benefit of humanity.
The subsequent article content are merged in Scholar. Their merged citations are counted only for the first short article.
This "Cited by" rely includes citations to the next articles or blog posts in Scholar. Those marked * could be various within the write-up 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 financial state is suffering from essentially the most challenging era of weather modify further than what exactly is evident while in the pre-industrial age. Though Africa's share of worldwide greenhouse gas (GHG) is negligible, the…
The following article content are merged in Scholar. Their mixed citations are counted only for the primary posting.
Toward attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Mastering method
A not-for-gain organization, IEEE is the globe's major specialized Experienced Firm committed to advancing technology for the advantage of humanity.
A QoE-pushed multicast tactic with phase routing—A novel multimedia traffic engineering paradigm
The present era is dealing with a Problem concerning partaking the essentialities of Electrical power resources to attain economic prosperity due to the following environmental troubles. Consequently, sectors…
An optimized quantum bare minimum seeking algorithm with absolutely sure-achievements chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways Jiahao Shen in Africa: Do organic resource dependence, renewable Vitality, and technological innovations amplify or reduce the pollution noises?
Scanning radar forward-seeking superresolution imaging determined by the Weibull distribution for a sea-surface target
This "Cited by" count includes citations to the following articles in Scholar. Those marked * can be distinctive from the article while 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。
Tips on how to disturb network reconnaissance: a shifting target protection solution based on deep reinforcement learning