About Jiahao Shen KCL
About Jiahao Shen KCL
Blog Article
The current era is experiencing a Problem regarding partaking the essentialities of Electrical power means to achieve economic prosperity resulting from the following environmental issues. As a result, sectors…
The global economy is dealing with by far the most demanding era of local weather improve past what is obvious inside the pre-industrial age. Whilst Africa's share of global greenhouse fuel (GHG) is negligible, the…
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A not-for-earnings organization, IEEE is the whole world's most significant technological Specialist Business devoted to advancing technological innovation for the benefit of humanity.
A not-for-gain Firm, IEEE is the world's most significant technical Skilled Corporation focused on advancing technology for the advantage of humanity.
A QoE-pushed multicast strategy with phase routing—A novel multimedia visitors engineering paradigm
Monitoring environmental sustainability pathways in Africa: Do normal useful resource dependence, renewable Vitality, and technological improvements amplify or lessen the pollution noises?
Towards attack-resistant route mutation for VANETs: an on the internet and adaptive multiagent reinforcement learning technique
An optimized quantum minimum seeking algorithm with sure-accomplishment chance and its experiment simulation with Cirq
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Scanning radar forward-seeking superresolution imaging dependant on the Weibull Jiahao Shen KCL distribution for any sea-area target
To address scanning radar forward-wanting sea imaging, this paper proposed a brilliant-resolution approach determined by Weibull distribution. The proposed process within our work introduced the generalized Gaussian…
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How to disturb network reconnaissance: a relocating focus on protection approach according to deep reinforcement learning