Maintenance grouping strategy for multi-component systems with dynamic contexts. - Hai Canh Vu; Phuc Do; Anne Barros; Christophe Bérenguer (Reliab. Eng. Syst. Saf., 2014)

Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams. - Phuc Do; Hai Canh Vu; Anne Barros; Christophe Bérenguer (Reliab. Eng. Syst. Saf., 2015)

Stratégies de regroupement pour la maintenance des systèmes à composants multiples avec structure complexe. (Grouping strategies for the maintenance of multi-component systems with complex structure). - Hai Canh Vu (2015)

A Stationary Grouping Maintenance Strategy Using Mean Residual Life and the Birnbaum Importance Measure for Complex Structures. - Hai Canh Vu; Phuc Do; Anne Barros (IEEE Trans. Reliab., 2016)

A Study on Health Diagnosis and Prognosis of an Industrial Diesel Motor: Hidden Markov Models and Particle Filter Approach. - Walid Mechri; Hai Canh Vu; Phuc Do; Timothee Klingelschmidt; Flavien Peysson; Didier Theilliol (DPS, 2017)

A Study on the Impacts of Maintenance Duration on Dynamic Grouping Modeling and Optimization of Multicomponent Systems. - Hai Canh Vu; Phuc Do; Anne Barros (IEEE Trans. Reliab., 2018)

Dynamic maintenance grouping and routing for geographically dispersed production systems. - Ho Si Hung Nguyen; Phuc Do; Hai Canh Vu; Benoît Iung (Reliab. Eng. Syst. Saf., 2019)

Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities. - Hai Canh Vu; Phuc Do; Mitra Fouladirad; Antoine Grall (Reliab. Eng. Syst. Saf., 2020)

A predictive maintenance policy considering the market price volatility for deteriorating systems. - Hai Canh Vu; Antoine Grall; Mitra Fouladirad; Khac Tuan Huynh (Comput. Ind. Eng., 2021)

Control Chart Patterns (CCPs) Forecasting Using Probabilistic Deep Learning. - Trong-Dung Nguyen; Hai Canh Vu; Khac Tuan Huynh; Anh-Cuong Ho; Nassim Boudaoud (ICSRS, 2022)

Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. - Lam Pham; Dusan Salovic; Anahid N. Jalali; Alexander Schindler; Khoa Tran; Hai Canh Vu; Phu X. Nguyen (CoRR, 2022)

A predictive maintenance model for k-out-of-n: F continuously deteriorating systems subject to stochastic and economic dependencies. - Khac Tuan Huynh; Hai Canh Vu; Trong-Dung Nguyen; A. C. Ho (Reliab. Eng. Syst. Saf., 2022)

Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines. - Khoa Tran; Hai Canh Vu; Lam Pham; Nassim Boudaoud (CoRR, 2023)

Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function. - Khoa Tran; Lam Pham; Hai Canh Vu (CoRR, 2023)

Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder-Decoder (RCLED). - Tuan Le; Hai Canh Vu; Amélie Ponchet-Durupt; Nassim Boudaoud; Zohra Cherfi-Boulanger; Thao Nguyen-Trang (Neurocomputing, 2024)

Modelling and application of joint maintenance grouping and workload smoothing for an automotive plant. - Minh-Tuan Truong; Hai Canh Vu; Phuc Do; Benoît Iung; Alexandre Voisin (Int. J. Prod. Res., 2024)

Different methods for RUL prediction considering sensor degradation. - Hassan Hachem; Hai Canh Vu; Mitra Fouladirad (Reliab. Eng. Syst. Saf., 2024)

A comprehensive survey with critical analysis for deepfake speech detection. - Lam Pham; Phat Lam; Dat Tran; Hieu Tang; Tin Nguyen 007; Alexander Schindler; Florian Skopik; Alexander Polonsky; Hai Canh Vu (Comput. Sci. Rev., 2025)

A modified TimeGAN-based data augmentation approach for the state of health prediction of Lithium-Ion Batteries. - Soufian Echabarri; Phuc Do; Hai Canh Vu; Pierre-Yves Liegeois (Reliab. Eng. Syst. Saf., 2025)