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Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

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Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

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Global information processing in feedforward deep networks

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

Customized Neural Network training to predict the highly imbalanced data of domestic hot water usage

Efficient Transformer-Based Speech Recognition

Reinforcement Learning for the occupant-centric operation of building energy systems: Theoretical and experimental investigations

Structure-preserving approaches and data-driven closure modeling for model order reduction

Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach

COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code

Hands-on reservoir computing: a tutorial for practical implementation