Emmanuel Maillet

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

An intelligent healthcare monitoring framework using wearable sensors and social networking data

A pattern recognition system based on acoustic signals for fault detection on composite materials

Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm

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

Deep learning and its applications to machine health monitoring

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

Applications of machine learning to machine fault diagnosis: A review and roadmap

Ensemble learning: A survey

Classification of acoustic emission signals using wavelets and Random Forests : Application to localized corrosion

Waveform-based selection of acoustic emission events generated by damage in composite materials