Labs: a synergistic neural AI ecosystem driving the future through integrated research, product monetization, and accelerated AI ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Abstract: This paper is concerned with the issue of model predictive control (MPC) for a class of stochastic hybrid singular systems, where a semi-Markov kernel orchestrates the switching among the ...
This variability can lead to differences in how physicians assess a patient's readiness for discharge. Less experienced physicians might be more cautious, which is one contributing factor to the ...
Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. In the ...
Abstract: This article proposes an online data-driven Koopman model predictive control (ODDKMPC) approach for robotic systems with unknown dynamics. Specifically, a least-squares-based automatic ...
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