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Anwar Hosen
Anwar Hosen
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong Waurn
Verified email at deakin.edu.au
Title
Cited by
Cited by
Year
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
2322018
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
1552011
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
752021
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
592014
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
562017
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
422014
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
392014
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
352011
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
172018
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
132015
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
132014
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
122017
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
102013
Optimization and control of polystyrene batch reactor using hybrid based model
MA Hosen, MA Hussain
Computer Aided Chemical Engineering 31, 760-764, 2012
102012
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
92019
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
82021
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
72016
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
72012
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
62015
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
42021
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