Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Reusable AI application models enable organizations to apply predictive insights across multiple customer scenarios.
Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
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 ...
Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
Heart transplantation remains the ultimate treatment option for patients with end stage heart disease, but donor supply remains insufficient, thereby complicating its allocation. Traditional scoring ...
Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...
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