The Jiahao Shen Diaries
The Jiahao Shen Diaries
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A not-for-gain Firm, IEEE is the earth's most significant complex Experienced Group committed to advancing technological know-how for the advantage of humanity.
The following articles are merged in Scholar. Their combined citations are counted just for the 1st report.
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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 global overall economy is going through probably the most challenging era of local climate change over and above what's obvious inside the pre-industrial age. Whilst Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The subsequent articles or blog posts are merged in Scholar. Their mixed citations are counted just for the primary article.
Toward attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Discovering strategy
A not-for-income Firm, IEEE is the planet'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 struggling with a dilemma regarding engaging the essentialities of Vitality means to attain economic prosperity as a consequence of the ensuing environmental issues. Therefore, sectors…
An optimized quantum minimal hunting algorithm with sure-accomplishment probability and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do all-natural source dependence, renewable Electrical power, and technological innovations amplify or decrease the air pollution noises?
Scanning radar forward-hunting superresolution imaging dependant on the Weibull distribution to Jiahao Shen get a sea-floor concentrate on
This "Cited by" count consists of citations to the next article content in Scholar. The ones marked * could 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。
How you can disturb network reconnaissance: a relocating concentrate on defense tactic based on deep reinforcement Studying