Hybrid RNN-LSTM deep learning model applied to a fuzzy based wind turbine data uncertainty quantization method
Sign Up to like & getrecommendations! Published in 2021 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2021.102658
Abstract: Abstract In addition to the plenty of advantages that the penetration of wind turbine (WT) brings to the smart networks, uncertainty problems can be considered as an unavoidable phenomenon that requires to be addressed. The… read more here.
Keywords: rnn lstm; wind turbine; uncertainty; hybrid rnn ... See more keywords
Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology
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DOI: 10.1016/j.compbiomed.2018.08.029
Abstract: Hospital readmission is one of the critical metrics used for measuring the performance of hospitals. The HITECH Act imposes penalties when patients are readmitted to hospitals if they are diagnosed with one of the six… read more here.
Keywords: rnn lstm; methodology; deep learning; hospital readmission ... See more keywords
Predicting COVID-19 cases in various scenarios using RNN-LSTM models aided by adaptive linear regression to identify data anomalies.
Sign Up to like & getrecommendations! Published in 2022 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202220210921
Abstract: The evolution of the Sars-CoV-2 (COVID-19) virus pandemic has revealed that the problems of social inequality, poverty, public and private health systems guided by controversial public policies are much more complex than was conceived before… read more here.
Keywords: linear regression; adaptive linear; rnn lstm; predicting covid ... See more keywords
Audio-Visual Stress Classification Using Cascaded RNN-LSTM Networks
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DOI: 10.3390/bioengineering9100510
Abstract: The purpose of this research is to emphasize the importance of mental health and contribute to the overall well-being of humankind by detecting stress. Stress is a state of strain, whether it be mental or… read more here.
Keywords: cascaded rnn; stress; audio visual; visual stress ... See more keywords