Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...
Abstract: Most existing non-blind deblurring methods formulate the problem into a maximum-a-posteriori framework and address it by manually designing a variety of regularization terms and data terms ...
Inverse electromagnetic (EM) modeling plays a pivotal role in subsurface exploration, enabling the characterization of the Earth’s electrical properties for various applications, including resource ...
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