Abstract: This paper provides a significant improvement to the coaxial-line equation that is used for analytical estimation of via capacitance in multilayered printed circuit boards (PCBs) Previously, ...

Abstract: Well-calibrated probabilistic regression models are a crucial learning component in robotics applications as datasets grow rapidly and tasks become more complex. Unfortunately, classical ...

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What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...