| Data-driven soft-sensors for online monitoring of batch processes with different initial conditions A Shokry, P Vicente, G Escudero, M Pérez-Moya, M Graells, A Espuña Computers & Chemical Engineering 118, 159-179, 2018 | 53 | 2018 |
| A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty A Shokry, S Medina-González, P Baraldi, E Zio, E Moulines, A Espuña Chemical Engineering Journal 425, 131632, 2021 | 28 | 2021 |
| A novel association rule mining method for the identification of rare functional dependencies in complex technical infrastructures from alarm data F Antonello, P Baraldi, A Shokry, E Zio, U Gentile, L Serio Expert Systems with Applications 170, 114560, 2021 | 28 | 2021 |
| Sequential Dynamic Optimization of Complex Nonlinear Processes based on Kriging Surrogate Models AE Ahmed Shokry Procedia Technology 15, 376–387, 2014 | 28 | 2014 |
| Dynamic surrogate modeling for multistep-ahead prediction of multivariate nonlinear chemical processes A Shokry, P Baraldi, E Zio, A Espuña Industrial & Engineering Chemistry Research 59 (35), 15634-15655, 2020 | 27 | 2020 |
| Association rules extraction for the identification of functional dependencies in complex technical infrastructures F Antonello, P Baraldi, A Shokry, E Zio, U Gentile, L Serio Reliability Engineering & System Safety 209, 107305, 2021 | 21 | 2021 |
| Optimal management of bio-based energy supply chains under parametric uncertainty through a data-driven decision-support framework S Medina-González, A Shokry, J Silvente, G Lupera, A Espuña Computers & Industrial Engineering 139, 105561, 2020 | 21 | 2020 |
| The ordinary kriging in multivariate dynamic modelling and multistep-ahead prediction A Shokry, A Espuña Computer aided chemical engineering 43, 265-270, 2018 | 18 | 2018 |
| Dynamic kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes A Shokry, MH Ardakani, G Escudero, M Graells, A Espuña Computers & Chemical Engineering 106, 758-776, 2017 | 18 | 2017 |
| Optimal Features Selection for Designing a Fault Diagnosis System MH Ardakani, MS Askarian, Ahmed, G Escudero, M Graells, A Espuña Computer Aided Chemical Engineering 38, 1111–1116, 2016 | 17 | 2016 |
| Multiparametric Metamodels for Model Predictive Control of Chemical Processes A Shokry, C Dombayci, A Espuña Computer Aided Chemical Engineering 37, 937-942, 2016 | 17 | 2016 |
| Applying metamodels and sequential sampling for constrained optimization of process operations A Shokry, A Espuna Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 17 | 2014 |
| Flaring events prediction and prevention through advanced big data analytics and machine learning algorithms M Giuliani, G Camarda, M Montini, L Cadei, A Bianco, A Shokry, P Baraldi, ... Offshore Mediterranean Conference and Exhibition, OMC-2019-1202, 2019 | 14 | 2019 |
| Data-driven extraction of association rules of dependent abnormal behaviour groups F Antonello, P Baraldi, A Shokry, E Zio, U Gentile, L Serio Proceedings of the 29th international European safety and reliability conference, 2019 | 12 | 2019 |
| Imputation of Missing Data with Ordinary Kriging for Enhancing Fault Detection and Diagnosis MH Ardakani, A Shokry, G Escudero, M Graells, A Espuña Computer Aided Chemical Engineering 38, 1377–1382, 2016 | 12 | 2016 |
| Modeling and Simulation of Complex Nonlinear Dynamic Processes Using Data Based Models: Application to Photo-Fenton Process AE Ahmed Shokry, Francesca Audino, Patricia Vicente, Gerard Escudero ... Computer Aided Chemical Engineering 37, 191–196, 2015 | 12 | 2015 |
| Ordinary Kriging: A machine learning tool applied to mixed-integer multiparametric approach G Lupera, A Shokry, S Medina-González, E Vyhmeister, A Espuña Computer Aided Chemical Engineering 43, 531-536, 2018 | 10 | 2018 |
| Application of pricing policies for coordinated management of supply chains K Hjaila, M Zamarripa, A Shokry, A Espuña Computer Aided Chemical Engineering 33, 475-480, 2014 | 10 | 2014 |
| A semi-supervised method for the characterization of degradation of nuclear power plants steam generators L Pinciroli, P Baraldi, A Shokry, E Zio, R Seraoui, C Mai Progress in Nuclear Energy 131, 103580, 2021 | 9 | 2021 |
| 28th European Symposium on Computer Aided Process Engineering S Radl, JJ Klemeš, PS Varbanov, T Wallek Elsevier, 2018 | 9 | 2018 |
Antonio EspuñaTechnical University of CataloniaВерификована је имејл адреса на upc.edu