Detecting Persian speaker-independent voice commands based on LSTM and ontology in communicating with the smart home appliances by Kalkhoran, Leila Safarpoor, Tabibian, Shima, Homayounvala, Elaheh

“…The experimental results show that the LSTM-based voice command detection system performed almost 1.5% and 13% more accurately than the Hidden Markov Model-based one, in scenarios ‘with’ and ‘without ontology’, respectively. …”
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Machine learning applications for the topology prediction of transmembrane beta-barrel proteins by Grimaldi, Cédric Maxime

“…Methods developed in the literature that are available include turn identification, hydrophobicity profiles, rule-based prediction, HMM (Hidden Markov model), ANN (Artificial Neural Networks), radial basis function networks, or combinations of methods. …”
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