A not-for-earnings Group, IEEE is the planet's biggest complex Specialist organization committed to advancing technological innovation for the good thing about humanity.
The next content articles are merged in Scholar. Their combined citations are counted just for the first article.
This "Cited by" depend incorporates citations to the following content in Scholar. The ones marked * could be distinct from the posting while in 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 economy is enduring probably the most hard era of local weather improve over and above what is apparent from the pre-industrial age. Even though Africa's share of world greenhouse fuel (GHG) is minimum, the…
The subsequent posts are merged in Scholar. Their merged citations are counted just for the very first posting.
Toward attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement Mastering solution
A not-for-revenue Group, IEEE is the entire world's biggest specialized Qualified Corporation dedicated to advancing technological innovation for the advantage of humanity.
A QoE-driven multicast tactic with phase routing—A novel multimedia traffic engineering paradigm
The current era is dealing with a dilemma referring to participating the essentialities of Electricity methods to achieve financial prosperity on account of the ensuing environmental problems. As a result, sectors…
An optimized quantum least hunting algorithm with absolutely sure-achievements chance and its experiment simulation with Cirq
Monitoring environmental sustainability pathways in Africa: Do natural resource dependence, renewable energy, and technological improvements amplify or lessen the air pollution noises?
Scanning radar ahead-on the lookout superresolution imaging dependant on the Weibull distribution for a sea-surface goal
This "Cited by" count consists of citations to the following article content in Scholar. The ones marked * might be various from the post inside 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。
Tips on how to Jiahao Shen KCL disturb community reconnaissance: a shifting target protection technique depending on deep reinforcement learning