[HTML][HTML] Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - Journal of Intelligent Manufacturing, 2023 - ideas.repec.org
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining.
K Nadim, A Ragab, MS Ouali - Journal of Intelligent …, 2023 - search.ebscohost.com
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - Journal of Intelligent …, 2023 - search.proquest.com
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
[引用][C] Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - Journal of Intelligent …, 2022 - publications.polymtl.ca
Data-driven dynamic causality analysis of industrial systems using interpretable machine
learning and process mining - PolyPublie < Retour au portail Polytechnique Montréal English …
learning and process mining - PolyPublie < Retour au portail Polytechnique Montréal English …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - Journal of Intelligent …, 2023 - econpapers.repec.org
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - Journal of Intelligent Manufacturing, 2023 - dl.acm.org
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
[PDF][PDF] Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
K Nadim, A Ragab, MS Ouali - researchgate.net
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …