A not-for-revenue Firm, IEEE is the whole world's largest technological professional Corporation focused on advancing technology for the good thing about humanity.
The following content are merged in Scholar. Their blended citations are counted only for the very first article.
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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 worldwide economic system is going through probably the most complicated period of local climate improve over and above what exactly is evident while in the pre-industrial age. Though Africa's share of worldwide greenhouse fuel (GHG) is nominal, the…
The following content are merged in Scholar. Their mixed citations are counted only for the main post.
Towards attack-resistant route mutation for VANETs: an on the web and adaptive multiagent reinforcement Studying solution
A not-for-earnings Corporation, IEEE is the whole world's largest specialized professional Business devoted to advancing engineering for the good thing about humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia website traffic engineering paradigm
The present period is experiencing a Problem concerning participating the essentialities of Electrical power sources to achieve financial prosperity as a result of the following environmental difficulties. Consequently, sectors…
An optimized quantum bare minimum exploring algorithm with confident-good results chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Jiahao Shen Islam Do natural source dependence, renewable Electricity, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution to get a sea-floor concentrate on
This "Cited by" count includes citations to the following content articles in Scholar. Those marked * might be diverse within the post 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。
Ways to disturb network reconnaissance: a relocating focus on protection method based upon deep reinforcement Mastering