Whale-optimized LSTM networks for enhanced automatic text summarization

Autor: Bharathi Mohan Gurusamy, Prasanna Kumar Rangarajan, Ali Altalbe

Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)

Automatic text summarization is a cornerstone of natural language processing, yet existing methods often struggle to maintain contextual integrity and capture nuanced sentence relationships. Introducing the Optimized Auto Encoded Long Short-Term Memo

Externí odkaz: https://doaj.org/article/ba95967949cb42c0ad24b1fb7fbf1c57

Degradation trajectories prognosis for PEM fuel cell systems based on Gaussian process regression

Autor: Deng Huiwen, Qi Huang, Frede Blaabjerg, Weihao Hu, Di Cao, Zhe Chen, Weirong Chen

Publikováno v: Deng, H, Hu, W, Cao, D, Chen, W, Huang, Q, Chen, Z & Blaabjerg, F 2022, ' Degradation trajectories prognosis for PEM fuel cell systems based on Gaussian process regression ', Energy, vol. 244 Part A, 122569, pp. 1-16 . https://doi.org/10.1016/j.energy.2021.122569

The aging trajectory prognosis is an effective tool to prolong the lifespan and lower the cost of proton exchange membrane fuel cell (PEMFC) systems. In this paper, Gaussian process regression modeling frameworks based on sparse pseudo-input Gaussian

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::325c7fc997ec007d02d0892daa5c61f5
https://doi.org/10.1016/j.energy.2021.122569