École Nationale d'Ingénieurs de Tarbes

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Université de Technologie de Troyes法国2
2. Centre National de la Recherche Scientifique法国2
3. National Agency for New Technologies, Energy and Sustainable Economic Development意大利1
4. CRAN法国1
5. University at Buffalo, State University of New York美国1
6. Agence de l'eau Adour-Garonne法国1
7. Université des Sciences, des Techniques et des Technologies de Bamako马里1
8. Institut polytechnique de Grenoble法国1

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逐年被引

最新文献

1. 1
   Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systemsReliability Engineering & System Safety202282
2. 2
   Data‐driven model for river flood forecasting based on a Bayesian network approachJournal of Contingencies and Crisis Management202013
3. 3
   PROMES: An ontology‐based messaging service for semantically interoperable information exchange during disaster responseJournal of Contingencies and Crisis Management202014
4. 4
   Knowledge, semantics and AI for risk and crisis managementJournal of Contingencies and Crisis Management202020
5. 5
   Adoption mechanisms of a supplier portal: A case study in the European aerospace industryComputers & Industrial Engineering201910
6. 6
   Joint optimization of monitoring quality and replacement decisions in condition-based maintenanceReliability Engineering & System Safety201982
7. 7
   Model selection to improve multiple imputation for handling high rate missingness in a water quality datasetExpert Systems with Applications201961
8. 8
   A new dynamic predictive maintenance framework using deep learning for failure prognosticsReliability Engineering & System Safety2019326
9. 9
   Rule mining in maintenance: Analysing large knowledge basesComputers & Industrial Engineering201833
10. 10
    Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognosesReliability Engineering & System Safety201811

高被引文献

1. 1
   A new dynamic predictive maintenance framework using deep learning for failure prognosticsReliability Engineering & System Safety2019326
2. 2
   Joint optimization of monitoring quality and replacement decisions in condition-based maintenanceReliability Engineering & System Safety201982
3. 3
   Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systemsReliability Engineering & System Safety202282
4. 4
   Model selection to improve multiple imputation for handling high rate missingness in a water quality datasetExpert Systems with Applications201961
5. 5
   Data mining techniques on satellite images for discovery of risk areasExpert Systems with Applications201657
6. 6
   Rule mining in maintenance: Analysing large knowledge basesComputers & Industrial Engineering201833
7. 7
   Knowledge, semantics and AI for risk and crisis managementJournal of Contingencies and Crisis Management202020
8. 8
   PROMES: An ontology‐based messaging service for semantically interoperable information exchange during disaster responseJournal of Contingencies and Crisis Management202014
9. 9
   Data‐driven model for river flood forecasting based on a Bayesian network approachJournal of Contingencies and Crisis Management202013
10. 10
    Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognosesReliability Engineering & System Safety201811

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