Abstract: A conventional model predictive current control (MPCC) scheme for an induction motor (IM) drive performs as an effective controller at dynamic and steady-state conditions. However, the ...
What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.
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 ...
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 ...
And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results