| Neural network-based uncertainty quantification: A survey of methodologies and applications HMD Kabir, A Khosravi, MA Hosen, S Nahavandi IEEE access 6, 36218-36234, 2018 | 238 | 2018 |
| Control of polystyrene batch reactors using neural network based model predictive control (NNMPC): An experimental investigation MA Hosen, MA Hussain, FS Mjalli Control Engineering Practice 19 (5), 454-467, 2011 | 156 | 2011 |
| Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN) MI Jahirul, MG Rasul, RJ Brown, W Senadeera, MA Hosen, R Haque, ... Renewable energy 168, 632-646, 2021 | 78 | 2021 |
| Improving the quality of prediction intervals through optimal aggregation MA Hosen, A Khosravi, S Nahavandi, D Creighton IEEE Transactions on Industrial Electronics 62 (7), 4420-4429, 2014 | 60 | 2014 |
| Lung cancer classification using deep learned features on low population dataset SM Salaken, A Khosravi, A Khatami, S Nahavandi, MA Hosen 2017 IEEE 30th Canadian conference on electrical and computer engineering …, 2017 | 58 | 2017 |
| Prediction interval-based neural network modelling of polystyrene polymerization reactor–A new perspective of data-based modelling MA Hosen, A Khosravi, S Nahavandi, D Creighton Chemical Engineering Research and Design 92 (11), 2041-2051, 2014 | 43 | 2014 |
| Performance analysis of three advanced controllers for polymerization batch reactor: An experimental investigation MA Hosen, MA Hussain, FS Mjalli, A Khosravi, D Creighton, S Nahavandi Chemical engineering research and design 92 (5), 903-916, 2014 | 39 | 2014 |
| Hybrid modelling and kinetic estimation for polystyrene batch reactor using Artificial Neutral Network (ANN) approach MA Hosen, MA Hussain, FS Mjalli Asia‐Pacific Journal of Chemical Engineering 6 (2), 274-287, 2011 | 35 | 2011 |
| Partial adversarial training for prediction interval HMD Kabir, A Khosravi, MA Hosen, S Nahavandi 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 17 | 2018 |
| Forecasting bike sharing demand using fuzzy inference mechanism SM Salaken, MA Hosen, A Khosravi, S Nahavandi Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 13 | 2015 |
| Prediction interval-based modelling of polymerization reactor: A new modelling strategy for chemical reactors MA Hosen, A Khosravi, D Creighton, S Nahavandi Journal of the Taiwan Institute of Chemical Engineers 45 (5), 2246-2257, 2014 | 13 | 2014 |
| Prediction interval with examples of similar pattern and prediction strength HMD Kabir, MA Hosen, S Nahavandi, A Khosravi 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering …, 2017 | 12 | 2017 |
| Control of polystyrene batch reactor using fuzzy logic controller MA Hosen, A Khosravi, S Nahavandi, D Creighton 2013 IEEE International Conference on Systems, Man, and Cybernetics, 4516-4521, 2013 | 10 | 2013 |
| Optimization and control of polystyrene batch reactor using hybrid based model MA Hosen, MA Hussain Computer Aided Chemical Engineering 31, 760-764, 2012 | 10 | 2012 |
| A cloud bidding framework for deadline constrained jobs HMD Kabir, AS Sabyasachi, A Khosravi, MA Hosen, S Nahavandi, ... 2019 IEEE International Conference on Industrial Technology (ICIT), 765-772, 2019 | 9 | 2019 |
| NN-based prediction interval for nonlinear processes controller MA Hosen, A Khosravi, HMD Kabir, M Johnstone, D Creighton, ... International Journal of Control, Automation and Systems 19 (9), 3239-3252, 2021 | 8 | 2021 |
| Prediction interval-based ANFIS controller for nonlinear processes MA Hosen, A Khosravi, S Nahavandi, L Sinnott 2016 International Joint Conference on Neural Networks (IJCNN), 4901-4907, 2016 | 7 | 2016 |
| Investigation of process dynamics and control of polystyrene batch reactor using hybrid model MA Hosen, MA Hussain, A Khosravi, D Creighton, S Nahavandi WCECS 2012: Proceedings of the World Congress on Engineering and Computer …, 2012 | 7 | 2012 |
| Prediction interval-based neural network controller for nonlinear processes MA Hosen, A Khosravi, S Nahavandi, D Creighton, SM Salaken 2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015 | 6 | 2015 |
| Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling J Zhang, M Johnstone, V Le, B Khan, MA Hosen, D Creighton, J Carney, ... Expert Systems with Applications 186, 115684, 2021 | 4 | 2021 |
Doug CreightonDeakin UniversityDirección de correo verificada de deakin.edu.au
