A not-for-earnings organization, IEEE is the world's most significant technological professional Corporation dedicated to advancing technological innovation for the advantage of humanity.
The following content articles are merged in Scholar. Their blended citations are counted only for the primary write-up.
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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 overall economy is experiencing quite possibly the most hard era of climate improve outside of what exactly is obvious while in the pre-industrial age. Even though Africa's share of worldwide greenhouse gas (GHG) is negligible, the…
The subsequent content are merged in Scholar. Their put together citations are counted just for the 1st write-up.
Towards attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out method
A not-for-gain organization, IEEE is the earth's greatest technological Specialist organization committed to advancing technologies for the benefit of humanity.
A QoE-pushed multicast technique with section routing—A novel multimedia traffic engineering paradigm
The current era is experiencing a dilemma associated with partaking the essentialities of Vitality means to attain financial prosperity due to the following environmental difficulties. Consequently, sectors…
An optimized quantum least searching algorithm with confident-success chance and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do organic useful resource dependence, renewable Power, and technological innovations amplify or lessen the pollution noises?
Scanning radar forward-wanting superresolution imaging based on Jiahao Shen King's College London the Weibull distribution for any sea-floor focus on
This "Cited by" count involves citations to the subsequent posts in Scholar. Those marked * can be various through the posting within 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 concentrate on protection solution based upon deep reinforcement Studying