Logging Data Completion Based on an MC-GAN-BiLSTM Model
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DOI: 10.1109/access.2021.3138194
Abstract: Due to environmental interference and operational errors, problems such as incomplete and random missing logging data have occurred during the geophysical logging data collection process. Since it is difficult to establish a geophysical model based… read more here.
Keywords: network; bilstm model; gan bilstm; logging data ... See more keywords
Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model
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DOI: 10.3390/ijerph19042077
Abstract: In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze… read more here.
Keywords: bilstm model; displacement prediction; landslide displacement; displacement ... See more keywords