A not-for-gain Corporation, IEEE is the world's major complex Skilled organization devoted to advancing technological know-how for the good thing about humanity.
The next articles or blog posts are merged in Scholar. Their mixed citations are counted only for the first short article.
This "Cited by" rely includes citations to the next content articles in Scholar. Those marked * could possibly be distinct from the report 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 worldwide economy is going through the most hard period of climate transform beyond what on earth is evident during the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is small, the…
The subsequent content articles are merged in Scholar. Their combined citations are counted just for the first post.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Understanding solution
A not-for-income organization, IEEE is the planet's most significant specialized Qualified Firm focused on advancing technological know-how for the advantage of humanity.
A QoE-pushed multicast approach with segment routing—A novel multimedia website traffic engineering paradigm
The current era is experiencing a Problem associated with partaking the essentialities of Vitality methods to attain Jiahao Shen KCL economic prosperity because of the following environmental complications. Consequently, sectors…
An optimized quantum minimum browsing algorithm with certain-results chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Power, and technological innovations amplify or reduce the air pollution noises?
Scanning radar forward-seeking superresolution imaging based upon the Weibull distribution for a sea-surface area focus on
This "Cited by" depend consists of citations to the following posts in Scholar. The ones marked * may be different from the 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。
How you can disturb network reconnaissance: a going concentrate on protection technique determined by deep reinforcement learning