Abstract: This article presents a new type of electromagnetic encoders based on step-impedance resonators (SIRs). The encoders consist of a linear chain of transversely oriented SIRs etched on a ...
Abstract: The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a ...
Welcome to the official release of our containerized LabVIEW environment! This project enables you to run LabVIEW seamlessly on Windows and Linux containers using Docker, making it easier to integrate ...
LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) ...
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