Abstract: S-parameter characterization of high-speed interconnect components is prone to numerical, modeling, and/or measurement error due, in part, to the sampled ...
HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
The mechanical response of linear viscoelastic materials is often described with Generalized Maxwell models. The necessary material model parameters are typically identified by fitting a Prony series ...
Abstract: Location-based offline user activity data plays a key role to understand user interest and context in various user-friendly services. Especially, the next Point-Of-Interest (POI) ...
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