Abstract: Applying a deep learning-based model for medical image segmentation on resource-constrained devices involves substantial challenges. This task demands a model with decreased parameters and ...
A fully IP-based workflow can streamline operations, improve signal consistency and reduce overall cost, writes Hartmut ...
Abstract: As the application of online partial discharge (PD) measurement increases the importance of denoising becomes increasingly obvious. Besides denoising a PD signal to detect and calculate ...
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) ...
This document specifies a bit-packed telemetry protocol for battery- and transmission- constrained IoT sensor systems, with particular emphasis on LoRa-based remote environmental monitoring. The ...
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