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The following article content are merged in Scholar. Their merged citations are counted only for the initial posting.
This "Cited by" depend incorporates citations to the following articles in Scholar. Those marked * could be different within the report 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 worldwide economic system is experiencing quite possibly the most demanding era of weather alter further than precisely what is evident from the pre-industrial age. Even though Africa's share of worldwide greenhouse gasoline (GHG) is negligible, the…
The next article content are merged in Scholar. Their blended citations are counted just for the very first article.
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
A not-for-profit Group, IEEE is the planet's most significant technical Specialist organization committed to advancing technology for the advantage of humanity.
A QoE-pushed multicast method with phase routing—A novel multimedia visitors engineering paradigm
The existing era is going through a Predicament referring to partaking the essentialities of energy assets to achieve economic prosperity resulting from the ensuing environmental troubles. Consequently, sectors…
An optimized quantum least searching algorithm with positive-achievements likelihood 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-seeking Jiahao Shen superresolution imaging based upon the Weibull distribution to get a sea-surface area concentrate on
This "Cited by" count involves citations to the following content articles in Scholar. Those marked * may very well 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。
Ways to disturb network reconnaissance: a shifting focus on protection solution according to deep reinforcement Discovering