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Metric-based multimodal meta-learning for human movement identification via footstep recognition
We describe a novel metric-based learning approach that introduces a multimodal framework and uses deep audio and geophone encoders in siamese configuration to design an adaptable and lightweight supervised model.
Detecting earthquakes: a novel deep learning-based approach for effective disaster response
In the present study, we present an intelligent earthquake signal detector that provides added assistance to automate traditional disaster responses.
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