The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Applying a few simplifying assumptions and constructing a set of ordinary differential equations leads to a model that ...
Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...
Background The tumour–stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. Objective To determine whether TSR follows a non-linear ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results