This study explores the characteristics of a nonlinear fractional chaotic model applying a fractional-order variation approach, leveraging radial basis function neural networks (RBFNN) for efficient ...
The study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including ...
Abstract: Tendon-driven continuum robots (TDCR) are widely used in medical interventions due to their inherent dexterity and compliance. However, precise motion planning and control of these robots ...
When you train a neural network to predict subjective states — like pain, fatigue, or stress — you aren’t just teaching it to fit data. You’re teaching it how to understand human experience in a ...
The right approach can provide a clear, statistically defendable method for determining dissolution and accelerated stability. Accelerated stability analysis is a strategy used to quickly evaluate ...
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