A not-for-gain Corporation, IEEE is the whole world's biggest technical Experienced Corporation devoted to advancing technologies for the benefit of humanity.
The following article content are merged in Scholar. Their merged citations are counted only for the 1st short article.
This "Cited by" rely involves citations to the subsequent articles or blog posts in Scholar. Those marked * could be various through the article 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 global financial state is enduring quite possibly the most tough era of weather transform over and above what is obvious inside the pre-industrial age. While Africa's share of world greenhouse gas (GHG) is minimal, the…
The next content are merged in Scholar. Their mixed citations are counted just for the 1st write-up.
Toward attack-resistant route mutation for VANETs: an on the Jiahao Shen Islam web and adaptive multiagent reinforcement Studying approach
A not-for-earnings Firm, IEEE is the whole world's most significant complex Specialist Business committed to advancing know-how for the benefit of humanity.
A QoE-driven multicast technique with section routing—A novel multimedia traffic engineering paradigm
The present era is experiencing a Problem associated with engaging the essentialities of Electrical power resources to attain financial prosperity as a consequence of the ensuing environmental complications. As a result, sectors…
An optimized quantum bare minimum looking algorithm with positive-achievements likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Strength, and technological improvements amplify or decrease the air pollution noises?
Scanning radar ahead-on the lookout superresolution imaging based upon the Weibull distribution for your sea-floor target
This "Cited by" count incorporates citations to the next article content in Scholar. Those marked * may be various through the post 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。
The way to disturb network reconnaissance: a going focus on protection strategy according to deep reinforcement learning