A not-for-profit organization, IEEE is the entire world's premier specialized Expert organization devoted to advancing technological know-how for the advantage of humanity.
The following articles are merged in Scholar. Their merged citations are counted only for the 1st write-up.
This "Cited by" depend incorporates citations to the next articles in Scholar. Those marked * can be unique from your 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 financial system is encountering the most hard era of local climate modify beyond what on earth is evident during the pre-industrial age. Whilst Africa's share of worldwide greenhouse fuel (GHG) is nominal, the…
The subsequent articles are merged in Scholar. Their merged citations are counted only for the 1st write-up.
Towards assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Studying method
A not-for-financial gain organization, IEEE is the planet's largest technological Specialist organization focused on advancing know-how for the benefit of humanity.
A QoE-driven multicast system with section routing—A novel multimedia targeted visitors engineering paradigm
The current period is struggling with a dilemma regarding partaking the essentialities of Strength assets to achieve financial prosperity because of the ensuing environmental issues. For that reason, sectors…
An optimized quantum least exploring algorithm with certain-good results likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural useful resource dependence, renewable Power, and technological innovations amplify or decrease the pollution noises?
Scanning radar ahead-wanting superresolution imaging dependant on the Weibull distribution to get a sea-surface area concentrate on
This "Cited by" depend Jiahao Shen KCL involves citations to the subsequent article content in Scholar. Those marked * may be various from your report 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。
How you can disturb network reconnaissance: a shifting goal defense method depending on deep reinforcement learning