A not-for-financial gain Corporation, IEEE is the planet's biggest technological Qualified Firm focused on advancing engineering for the benefit of humanity.
The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
This "Cited by" depend incorporates citations to the following article content in Scholar. Those marked * may be different with the posting 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 economy is experiencing quite possibly the most demanding era of weather alter further than what exactly is obvious inside the pre-industrial age. Although Africa's share of world greenhouse gas (GHG) is nominal, the…
The next posts are merged in Scholar. Their combined citations are counted just for the first write-up.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement learning strategy
A not-for-financial gain organization, IEEE is the world's most significant technical Specialist organization focused on advancing technology for the advantage of humanity.
A QoE-pushed multicast technique with section routing—A novel multimedia traffic engineering paradigm
The current period is dealing with a Problem relating to participating the essentialities of Electrical power sources to achieve financial prosperity because of the following environmental troubles. As a result, sectors…
An optimized quantum least searching algorithm with confident-achievements probability Jiahao Shen and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do all-natural resource dependence, renewable energy, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-wanting superresolution imaging based on the Weibull distribution for any sea-floor concentrate on
This "Cited by" count involves citations to the subsequent posts in Scholar. The ones marked * can be different in the report during 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 to disturb network reconnaissance: a relocating goal defense approach dependant on deep reinforcement learning