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Gate Recurrent Unit for Efficient Industrial Gas Identification

arXiv 2406.16997 ↗First posted 24 Jun 2024cs.LG cs.AIcited by 0

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Abstract (arXiv)

In recent years, gas recognition technology has received considerable attention. Nevertheless, the gas recognition area has faced obstacles in implementing deep learning-based recognition solutions due to the absence of standardized protocols. To tackle this problem, we suggest a new GRU. Compared to other models, GRU obtains a higher identification accuracy.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 9 references that are in the map. First posted on arXiv 24 Jun 2024.

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References · 1

  1. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057

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