Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...
Abstract: We study the dynamic joint service function chain (SFC) embedding problem in a network function virtualization (NFV)-enabled edge cloud network. Our design goal is to optimize the network ...
A fundamental scientific problem of our time is to understand how memory systems integrate present sensory stimuli, past experience, and future behavioural options. Modern neuroscience tries to ...