Dr Anwar Hosen

Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

R Mohammed, V Le, D Creighton, A Hosen

(2023), pp. 271-276, Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023, E1

Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid

H Kabir, A Khorsavi, M Rahman, M Hosen, S Nahavandi

(2021), pp. 1-8, IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, Shenzhen, China, E1

A cloud bidding framework for deadline constrained jobs

H Dipu Kabir, A Sabyasachi, A Khosravi, M Hosen, S Nahavandi, R Buyya

(2019), pp. 765-772, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

Probability density for amazon spot instance price

H Dipu Kabir, A Khosravi, M Hosen, S Nahavandi, R Buyya

(2019), pp. 887-892, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

Weighted autocorrelation based prediction Interval optimization for wind power generation

H Kabir, M Hosen, A Khosravi, S Nahavandi

(2018), pp. 1-6, IJCNN 2018: Proceedings of the International Joint Conference on Neural Networks, Rio De Janeiro, Brazil, E1

Partial adversarial training for prediction interval

H Kabir, A Khosravi, M Hosen, S Nahavandi

(2018), Vol. 2018-July, pp. 1-6, IJCNN 2018 : Proceedings of the International Joint Conference on Neural Networks, Rio, Brasil, E1

Lung cancer classification using deep learned features on low population dataset

S Salaken, A Khosravi, A Khatami, S Nahavandi, M Hosen

(2017), pp. 1-5, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

Prediction interval with examples of similar pattern and prediction strength

H Kabir, M Hosen, S Nahavandi, A Khosravi

(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

Prediction interval-based controller for chemical reactor

M Hosen, S Nahavandi, A Khosravi, P Shi, L Sinnott

(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

Adaptive neuro-fuzzy interface system (ZNFIS) controller for polymerization reactor

M Hosen, S Nahavandi, L Sinnott, A Khosravi

(2016), pp. 34-39, 21CW 2016 : Proceedings of the IEEE Conference on Norbert Wiener in the 21st Century, Melbourne, Vic., E1

Prediction interval-based ANFIS controller for nonlinear processes

M Hosen, A khosravi, S nahavandi, L Sinnott

(2016), pp. 4901-4907, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1

Prediction interval-based neural network controller for nonlinear processes

M Hosen, A Khosravi, S Nahavandi, D Creighton, S Salaken

(2015), pp. 1-6, IJCNN 2015 : Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1

Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes

M Hosen, S Salaken, A Khosravi, S Nahavandi, D Creighton

(2015), pp. 1-10, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1

Prediction interval-based control of nonlinear systems using neural networks

M Hosen, M Hosen, A Khosravi, A Khosravi, S Nahavandi, S Nahavandi, D Creighton, D Creighton

(2015), pp. 101-110, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1

Forecasting bike sharing demand using fuzzy inference mechanism

S Salaken, M Hosen, A Khosravi, S Nahavandi

(2015), Vol. 9491, pp. 567-574, ICONIP 2015 : Proceedings of the 22nd International Conference on Neural Information Processing, Istanbul, Turkey, E1

Prediction interval-based neural network modelling of polystyrene polymerization reactor - a new perspective of data-based modelling

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2014), pp. 2041-2051, WCECS 2012 : Proceedings of the 2012 World Congress on Engineering & Compuer Science, San Francisco, California, E1

Aggregation of Pi-based forecast to enhance prediction accuracy

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2014), pp. 778-784, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1

Control of polystyrene batch reactor using fuzzy logic controller

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2013), pp. 4516-4521, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor

M Hosen, A Khosravi, S Nahavandi, D Creighton, M Hussain

(2012), pp. 729-732, WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, San Francisco, Calif., E1

Investigation of process dynamics and control of polystyrene batch reactor using hybrid model

M Hosen, M Hussain, A Khosravi, D Creighton, S Nahavandi

(2012), pp. 765-769, WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, San Francisco, Calif., E1