A not-for-gain organization, IEEE is the earth's premier specialized Experienced Group focused on advancing engineering for the good thing about humanity.
The next articles are merged in Scholar. Their mixed citations are counted just for the first write-up.
This "Cited by" count includes citations to the next posts in Scholar. The ones marked * can be different in the write-up during 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 financial state is suffering from probably the most hard period of climate modify beyond exactly what is obvious during the pre-industrial age. Though Africa's share of world greenhouse gasoline (GHG) is negligible, the…
The following articles or blog posts are merged in Scholar. Their combined citations are counted just for the very first write-up.
Towards attack-resistant route mutation for VANETs: an online Jiahao Shen KCL and adaptive multiagent reinforcement Understanding technique
A not-for-earnings Firm, IEEE is the entire world's biggest specialized Expert organization dedicated to advancing technology for the advantage of humanity.
A QoE-driven multicast strategy with phase routing—A novel multimedia targeted visitors engineering paradigm
The existing era is dealing with a dilemma referring to engaging the essentialities of Electrical power assets to attain financial prosperity resulting from the ensuing environmental problems. Consequently, sectors…
An optimized quantum minimum searching algorithm with guaranteed-results likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do natural useful resource dependence, renewable Strength, and technological innovations amplify or reduce the air pollution noises?
Scanning radar forward-seeking superresolution imaging according to the Weibull distribution for a sea-area focus on
This "Cited by" rely involves citations to the subsequent content in Scholar. Those marked * could be various in the post 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。
The best way to disturb network reconnaissance: a shifting target protection tactic determined by deep reinforcement learning