A not-for-income Firm, IEEE is the globe's greatest technical Experienced Group focused on advancing technological innovation for the advantage of humanity.
The next posts are merged in Scholar. Their combined citations are counted only for the main report.
This "Cited by" count features citations to the next posts in Scholar. Those marked * could possibly be various 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 climate is dealing with one of the most difficult period of local weather improve over and above what is apparent in the pre-industrial age. While Africa's share of global greenhouse fuel (GHG) is minimum, the…
The subsequent content articles are merged in Scholar. Their mixed citations are counted just for the very first short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Discovering technique
A not-for-profit Group, IEEE is the planet's major specialized Experienced Firm devoted to advancing technological innovation for the advantage of humanity.
A QoE-driven multicast approach with phase routing—A novel multimedia Jiahao Shen History Researcher site visitors engineering paradigm
The existing era is struggling with a dilemma regarding engaging the essentialities of Electricity assets to attain financial prosperity due to the ensuing environmental troubles. Consequently, sectors…
An optimized quantum least searching algorithm with confident-success probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do purely natural resource dependence, renewable Strength, and technological improvements amplify or reduce the pollution noises?
Scanning radar forward-wanting superresolution imaging depending on the Weibull distribution for your sea-surface goal
This "Cited by" depend incorporates citations to the following content in Scholar. Those marked * can be different within the report during 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 defense method according to deep reinforcement learning