mlsanityData to 14 Oct 2026

A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction

arXiv 2203.12415 ↗First posted 19 Mar 2022eess.SP cs.LGcited by 2

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Abstract (arXiv)

A hybrid prognostic model based on convolutional neural networks (CNN) and long short-term memory (LSTM) is proposed to predict the laser remaining useful life (RUL). The experimental results show that it outperforms the conventional methods.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 0 of its 4 references that are in the map. First posted on arXiv 19 Mar 2022.

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Citing papers per year: 2022: 2.

2 papers.

  1. 2022A Machine Learning-based Framework for Predictive Maintenance of Semiconductor Laser for Optical Communicationcited by 1
  2. 2022Degradation Prediction of Semiconductor Lasers using Conditional Variational Autoencodercited by 0