A safety/security risk analysis approach of Industrial Control Systems: A cyber bowtie–combining new version of attack tree with bowtie analysis H Abdo, M Kaouk, JM Flaus, F Masse Computers & security 72, 175-195, 2018 | 196 | 2018 |
Modelling of hydrogen production in batch cultures of the photosynthetic bacterium Rhodobacter capsulatus J Obeid, JP Magnin, JM Flaus, O Adrot, JC Willison, R Zlatev international journal of hydrogen energy 34 (1), 180-185, 2009 | 108 | 2009 |
An Eco1-independent sister chromatid cohesion establishment pathway in S. cerevisiae V Borges, DJ Smith, I Whitehouse, F Uhlmann Chromosoma 122, 121-134, 2013 | 94 | 2013 |
Review of machine learning approaches in fault diagnosis applied to IoT systems NG Lo, JM Flaus, O Adrot 2019 International Conference on Control, Automation and Diagnosis (ICCAD), 1-6, 2019 | 60 | 2019 |
Industrial emergency planning modeling: A first step toward a robustness analysis tool GM Karagiannis, E Piatyszek, JM Flaus Journal of hazardous materials 181 (1-3), 324-334, 2010 | 57 | 2010 |
Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory H Abdo, JM Flaus International Journal of Production Research 54 (19), 5862-5885, 2016 | 56 | 2016 |
A method for sensor placement taking into account diagnosability criteria A Yassine, S Ploix, JM Flaus International Journal of Applied Mathematics and Computer Science 18 (4 …, 2008 | 56 | 2008 |
Risk analysis: socio-technical and industrial systems JM Flaus John Wiley & Sons, 2013 | 54 | 2013 |
Moving horizon state estimation with global convergence using interval techniques: application to biotechnological processes H Valdés-González, JM Flaus, G Acuña Journal of process control 13 (4), 325-336, 2003 | 49 | 2003 |
An approach based on behavioral models and critical states distance notion for improving cybersecurity of industrial control systems F Sicard, É Zamaï, JM Flaus Reliability Engineering & System Safety 188, 584-603, 2019 | 40* | 2019 |
Cybersecurity of industrial systems JM Flaus John Wiley & Sons, 2019 | 40 | 2019 |
A Deep Learning Approach for Intrusion Detection System in Industry Network. A Hijazi, A El Safadi, JM Flaus BDCSIntell, 55-62, 2018 | 39 | 2018 |
Chromatin dynamics at the replication fork: there's more to life than histones I Whitehouse, DJ Smith Current opinion in genetics & development 23 (2), 140-146, 2013 | 38 | 2013 |
A new approach for designing model-based indirect sensors L Boillereaux, JM Flaus IEEE Transactions on control systems technology 8 (4), 601-608, 2000 | 37 | 2000 |
A logical framework for isolation in fault diagnosis S Ploix, S Touaf, JM Flaus IFAC Proceedings Volumes 36 (5), 807-812, 2003 | 36 | 2003 |
A review of intrusion detection systems for industrial control systems M Kaouk, JM Flaus, ML Potet, R Groz 2019 6th International Conference on Control, Decision and Information …, 2019 | 29 | 2019 |
A model-based approach for systematic risk analysis JM Flaus Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2008 | 29 | 2008 |
Monte Carlo simulation to solve fuzzy dynamic fault tree H Abdo, JM Flaus IFAC-PapersOnLine 49 (12), 1886-1891, 2016 | 28 | 2016 |
State estimation of a batch hydrogen production process using the photosynthetic bacteria Rhodobacter capsulatus J Obeid, JM Flaus, O Adrot, JP Magnin, JC Willison International journal of hydrogen energy 35 (19), 10719-10724, 2010 | 26 | 2010 |
Modular representation of complex hybrid systems: application to the simulation of batch processes L Thevenon, JM Flaus Simulation Practice and Theory 8 (5), 283-306, 2000 | 26 | 2000 |