Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
Abstract: This paper presents a precision capacitive rotary encoder that integrates a shared charge amplifier, and a multi-stage offset calibration scheme. Recently, capacitive encoders have gained ...
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