Bidirectional handshaking LSTM for remaining useful life prediction von Elsheikh, Ahmed, Yacout, Soumaya, Ouali, Mohamed-Salah

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Fault classification in the process industry using polygon generation and deep learning von Elhefnawy, Mohamed, Ragab, Ahmed, Ouali, Mohamed-Salah

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Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions von Ragab, Ahmed, Yacout, Soumaya, Ouali, Mohamed-Salah, Osman, Hany

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Failure interaction model based on extreme shock and Markov processes von Meango, Toualith Jean-Marc, Ouali, Mohamed-Salah

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A Data-Driven Fault Tree for a Time Causality Analysis in an Aging System von Waghen, Kerelous, Ouali, Mohamed-Salah

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Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals von Elsheikh, Ahmed, Yacout, Soumaya, Ouali, Mohamed-Salah, Shaban, Yasser

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Pattern‐based prognostic methodology for condition‐based maintenance using selected and weighted survival curves von Ragab, Ahmed, Yacout, Soumaya, Ouali, Mohamed‐Salah, Osman, Hany

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A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies von Mikhail, Mina, Ouali, Mohamed-Salah, Yacout, Soumaya

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Fusion of heterogeneous industrial data using polygon generation & deep learning von Elhefnawy, Mohamed, Ouali, Mohamed-Salah, Ragab, Ahmed, Amazouz, Mouloud

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Multi-level interpretable logic tree analysis: A data-driven approach for hierarchical causality analysis von Waghen, Kerelous, Ouali, Mohamed-Salah

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Interpretable logic tree analysis: A data-driven fault tree methodology for causality analysis von Waghen, Kerelous, Ouali, Mohamed-Salah

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Polygon generation and video-to-video translation for time-series prediction von Elhefnawy, Mohamed, Ragab, Ahmed, Ouali, Mohamed-Salah

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Age replacement policies for two-component systems with stochastic dependence von Malki, Zouheir, Ait-Kadi, Daoud, Ouali, Mohamed-Salah

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Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes von Nadim, Karim, Ouali, Mohamed-Salah, Ghezzaz, Hakim, Ragab, Ahmed

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Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning von Ragab, Ahmed, El Koujok, Mohamed, Ghezzaz, Hakim, Amazouz, Mouloud, Ouali, Mohamed-Salah, Yacout, Soumaya

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Contribution of dynamic experience feedback to the quantitative estimation of risks for preventing accidents: A proposed methodology for machinery safety von Jocelyn, Sabrina, Chinniah, Yuvin, Ouali, Mohamed-Salah

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Estimation of probability of harm in safety of machinery using an investigation systemic approach and Logical Analysis of Data von Jocelyn, Sabrina, Ouali, Mohamed-Salah, Chinniah, Yuvin

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Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan–Meier estimation von Ragab, Ahmed, Ouali, Mohamed-Salah, Yacout, Soumaya, Osman, Hany

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Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors von Soualhi, Moncef, El Koujok, Mohamed, Nguyen, Khanh T.P., Medjaher, Kamal, Ragab, Ahmed, Ghezzaz, Hakim, Amazouz, Mouloud, Ouali, Mohamed-Salah

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Application of logical analysis of data to machinery-related accident prevention based on scarce data von Jocelyn, Sabrina, Chinniah, Yuvin, Ouali, Mohamed-Salah, Yacout, Soumaya

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