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Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks
Leveraging Transfer Learning in LSTM Neural Networks for Data-Efficient Burst Detection in Water Distribution Systems
Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions
Development of an LSTM-based methodology for burst detection in water distribution systems
An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors
Football activity recognition: A deep learning approach to football activity recognition based on Inertial Measurement Units signals
Using neural networks to model the behavior in vessel trajectories
Deep Learning Architectures for PM2.5 and Visibility Predictions
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