PID Controller optimal tuning B Doicin, M Popescu, C Patrascioiu 2016 8th International Conference on Electronics, Computers and Artificial …, 2016 | 33 | 2016 |
A comparative study of computational intelligence techniques applied to PM2. 5 air pollution forecasting M Oprea, SF Mihalache, M Popescu 2016 6th International Conference on Computers Communications and Control …, 2016 | 29 | 2016 |
Particulate matter prediction using ANFIS modelling techniques SF Mihalache, M Popescu, M Oprea 2015 19th International Conference on System Theory, Control and Computing …, 2015 | 24 | 2015 |
Particulate matter air pollutants forecasting using inductive learning approach M Oprea, EG Dragomir, M Popescu, SF Mihalache Rev. Chim 67, 2075-2081, 2016 | 20 | 2016 |
Computational intelligence-based PM2. 5 air pollution forecasting M Oprea, SF Mihalache, M Popescu International Journal of Computers Communications & Control 12 (3), 365-380, 2017 | 18 | 2017 |
Data mining and ANFIS application to particulate matter air pollutant prediction. A comparative study M Oprea, M Popescu, SF Mihalache, EG Dragomir International Conference on Agents and Artificial Intelligence 2, 551-558, 2017 | 14 | 2017 |
Specific Problems of Using Unisim Design in the Dynamic Simulation of the Propylene-Propane Distillation Column C Patrascioiu, M Popescu, N Paraschiv Revista de chimie 65 (9), 1086-1091, 2014 | 13 | 2014 |
A neural network based model for PM2.5 air pollutant forecasting M Oprea, M Popescu, SF Mihalache 2016 20th International Conference on System Theory, Control and Computing …, 2016 | 12 | 2016 |
Remote laboratory for learning in control engineering M Popescu, N Paraschiv IFAC Proceedings Volumes 46 (17), 333-338, 2013 | 12 | 2013 |
Implementation of advanced process control in refineries N Nicolae, M Popescu, C Patrascioiu 2019 23rd International Conference on System Theory, Control and Computing …, 2019 | 8 | 2019 |
Air pollutants and meteorological parameters influence on PM2. 5 forecasting and performance assessment of the developed artificial intelligence-based forecasting model M Popescu, SF Mihalache, M Oprea Revista De Chimie 68 (4), 864-868, 2017 | 8 | 2017 |
Control of propylene - propane distillation process using Unisim®design C Patrascioiu, CM Anh, M Popescu 2015 19th International Conference on System Theory, Control and Computing …, 2015 | 8 | 2015 |
Prediction methods and techniques for PM2. 5 concentration in urban environment M Oprea, EG Dragomir, SF Mihalache, M Popescu, S Iordache, D Dunea Methods for the assessment of air pollution with particulate matter to …, 2014 | 8 | 2014 |
Sisteme distribuite de supervizare si control N Paraschiv, M Popescu Petroleum-Gas University of Ploiesti, 2014 | 7 | 2014 |
Development of ANFIS models for PM short-term prediction. case study SF Mihalache, M Popescu 2016 8th International Conference on Electronics, Computers and Artificial …, 2016 | 6 | 2016 |
Modelling and simulation of natural gas compression plant C Patrascioiu, M Popescu 2021 13th International Conference on Electronics, Computers and Artificial …, 2021 | 5 | 2021 |
Comparative study of pid and fuzzy level control using delta v distributed system M Popescu 2018 10th International Conference on Electronics, Computers and Artificial …, 2018 | 5 | 2018 |
Applying Artificial Neural Networks to Short-Term PM2.5 Forecasting Modeling M Oprea, SF Mihalache, M Popescu Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 …, 2016 | 5 | 2016 |
Selection of Control Configurations for a Gas Separation Unit. M Popescu Petroleum-Gas University of Ploiesti Bulletin, Technical Series 66 (2), 2014 | 5 | 2014 |
Robust Control of Industrial Propylene-Propane Fractionation Process C Patrascioiu, N Paraschiv, AC Minh, M Popescu Computer Aided Chemical Engineering 37, 1745-1750, 2015 | 4 | 2015 |