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The following article content are merged in Scholar. Their blended citations are counted only for the first report.
This "Cited by" rely includes citations to the subsequent articles or blog posts in Scholar. The ones marked * can be distinct from the short article inside 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 economic system is encountering quite possibly the most demanding era of weather alter further than what exactly is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is minimal, the…
The next articles are merged in Scholar. Their blended citations are counted just for the primary article.
Towards assault-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
A not-for-profit Group, IEEE is the world's premier technical Specialist organization committed to advancing technology for the good thing about humanity.
A QoE-driven multicast system with phase routing—A novel multimedia visitors engineering paradigm
The existing era is struggling with a Predicament relating to participating the essentialities of Electrical power sources to achieve financial prosperity as a result of the following environmental complications. As a result, sectors…
An optimized quantum minimum amount looking algorithm with confident-success likelihood and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Electricity, and technological innovations amplify or reduce the air pollution noises?
Scanning radar ahead-looking superresolution imaging determined by the Weibull distribution for the sea-area target
This "Cited by" rely incorporates citations to the following content articles in Scholar. Those marked * may be various through the article 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。
Ways to disturb network reconnaissance: a shifting focus on protection Jiahao Shen solution according to deep reinforcement Finding out