| Data-derived soft-sensors for biological wastewater treatment plants: An overview H Haimi, M Mulas, F Corona, R Vahala Environmental modelling & software 47, 88-107, 2013 | 264 | 2013 |
| Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network JF de Canete, P del Saz-Orozco, R Baratti, M Mulas, A Ruano, ... Expert Systems with Applications 63, 8-19, 2016 | 112 | 2016 |
| Nitrous oxide production at a fully covered wastewater treatment plant: results of a long-term online monitoring campaign H Kosonen, M Heinonen, A Mikola, H Haimi, M Mulas, F Corona, ... Environmental science & technology 50 (11), 5547-5554, 2016 | 100 | 2016 |
| Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant M Mulas, S Tronci, F Corona, H Haimi, P Lindell, M Heinonen, R Vahala, ... Journal of Process Control 35, 89-100, 2015 | 68 | 2015 |
| Modelling and control of activated sludge processes M Mulas Università degli Studi di Cagliari, 2006 | 68 | 2006 |
| A study on supercritical water gasification of black liquor conducted in stainless steel and nickel‐chromium‐molybdenum reactors C De Blasio, G Lucca, K Özdenkci, M Mulas, K Lundqvist, J Koskinen, ... Journal of Chemical Technology & Biotechnology 91 (10), 2664-2678, 2016 | 60 | 2016 |
| Predictive control of an activated sludge process for long term operation C Foscoliano, S Del Vigo, M Mulas, S Tronci Chemical Engineering Journal 304, 1031-1044, 2016 | 55 | 2016 |
| Wastewater treatment modelling in practice: a collaborative discussion of the state of the art HM Phillips, KE Sahlstedt, K Frank, J Bratby, W Brennan, S Rogowski, ... Water Science and Technology 59 (4), 695-704, 2009 | 51 | 2009 |
| Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant H Haimi, M Mulas, F Corona, S Marsili-Libelli, P Lindell, M Heinonen, ... Engineering Applications of Artificial Intelligence 52, 65-80, 2016 | 45 | 2016 |
| Monitoring nitrate concentrations in the denitrifying post-filtration unit of a municipal wastewater treatment plant F Corona, M Mulas, H Haimi, L Sundell, M Heinonen, R Vahala Journal of Process Control 23 (2), 158-170, 2013 | 45 | 2013 |
| Development of an extended ASM3 model for predicting the nitrous oxide emissions in a full-scale wastewater treatment plant K Blomberg, P Kosse, A Mikola, A Kuokkanen, T Fred, M Heinonen, ... Environmental science & technology 52 (10), 5803-5811, 2018 | 44 | 2018 |
| Systematic approach to the design of operation and control policies in activated sludge systems ACB de Araújo, S Gallani, M Mulas, G Olsson Industrial & engineering chemistry research 50 (14), 8542-8557, 2011 | 33 | 2011 |
| On the topological modeling and analysis of industrial process data using the SOM F Corona, M Mulas, R Baratti, JA Romagnoli Computers & Chemical Engineering 34 (12), 2022-2032, 2010 | 31 | 2010 |
| Sensitivity analysis of optimal operation of an activated sludge process model for economic controlled variable selection ACB de Araujo, S Gallani, M Mulas, S Skogestad Industrial & Engineering Chemistry Research 52 (29), 9908-9921, 2013 | 27 | 2013 |
| Development of a 4-measurable states activated sludge process model deduced from the ASM1 M Mulas, S Tronci, R Baratti IFAC Proceedings Volumes 40 (5), 213-218, 2007 | 26 | 2007 |
| Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP H Haimi, F Corona, M Mulas, L Sundell, M Heinonen, R Vahala Environmental Modelling & Software 72, 215-229, 2015 | 24 | 2015 |
| Advanced operation and control methods of municipal wastewater treatment processes in Finland H Haimi, M Mulas, K Sahlstedt, R Vahala Water and Wastewater Engineering, Helsinki University of Technology …, 2009 | 19 | 2009 |
| Process automation in wastewater treatment plants: The Finnish experience H Haimi, M Mulas, R Vahala E-Water Official Publication of the European Water Association, EWA, 2010 | 15 | 2010 |
| Data-derived analysis and inference for an industrial deethanizer F Corona, M Mulas, R Baratti, JA Romagnoli Industrial & Engineering Chemistry Research 51 (42), 13732-13742, 2012 | 14 | 2012 |
| Supervised distance preserving projections: applications in the quantitative analysis of diesel fuels and light cycle oils from NIR spectra F Corona, Z Zhu, AH de Souza Júnior, M Mulas, E Muru, L Sassu, ... Journal of Process Control 30, 10-21, 2015 | 10 | 2015 |
