A not-for-profit Group, IEEE is the entire world's biggest specialized Specialist Firm dedicated to advancing technologies for the advantage of humanity.
The following content articles are merged in Scholar. Their combined citations are counted just for the primary post.
This "Cited by" count includes citations to the next articles in Scholar. Those marked * could be different with 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 global economic climate is dealing with by far the most difficult era of local weather adjust beyond what's obvious within the pre-industrial age. Whilst Africa's share of global greenhouse gas (GHG) is negligible, the…
The next article content are merged in Scholar. Their blended citations are counted just for the initial article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Discovering strategy
A not-for-gain Business, IEEE is the whole world's greatest technological Expert Group committed to advancing technology for the benefit of humanity.
A QoE-pushed multicast strategy with section routing—A novel multimedia traffic engineering paradigm
The present era is experiencing a dilemma referring to participating the essentialities of Electrical power methods to attain economic prosperity as a consequence of the ensuing environmental difficulties. For that reason, sectors…
An optimized quantum bare minimum exploring algorithm with positive-results probability and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure resource dependence, renewable Power, and technological improvements amplify or lessen the pollution noises?
Scanning radar forward-wanting superresolution imaging dependant on the Weibull Jiahao Shen KCL distribution to get a sea-floor concentrate on
This "Cited by" count contains citations to the next article content in Scholar. The ones marked * could be different in 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。
Ways to disturb network reconnaissance: a relocating focus on protection approach according to deep reinforcement Finding out