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 ...
A Novel Mixture Least Squares Approach for Simultaneous Parameter/State and Unknown Input Estimation
Abstract: In this article, we introduce a novel mixture least squares (MLSs) algorithm to deal with the problems of simultaneous parameter/state and unknown input estimation. First, the MLSs algorithm ...
The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Fredericton hopes to ...
Abstract: Federated Learning (FL) is a promising approach that enables multiple devices to collaboratively train a machine learning model over a wireless IoT network. It maintains data privacy by ...
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