Romuald Boné

State-of-the-art in artificial neural network applications: A survey

Smart farming using artificial intelligence: A review

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

Energy consumption prediction of office buildings based on echo state networks

A review of data-driven building energy consumption prediction studies

A recurrent neural network based health indicator for remaining useful life prediction of bearings

An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

Remaining useful life estimation in prognostics using deep convolution neural networks

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Selective Recurrent Neural Network

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Toward Automatic Time-Series Forecasting Using Neural Networks

Deep learning for time series classification: a review

Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks

SOM time series clustering and prediction with recurrent neural networks

A new boosting algorithm for improved time-series forecasting with recurrent neural networks