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ORCIDMohamed Azlan Hussain
Person information
- affiliation: University Malaya, Kuala Lumpur, Malaysia
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2020 – today
- 2024
[j23]Chanin Panjapornpon
, Patcharapol Chinchalongporn, Santi Bardeeniz, Kulpavee Jitapunkul, Mohamed Azlan Hussain, Thanatip Satjeenphong:
Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor. Eng. Appl. Artif. Intell. 138: 109500 (2024)- 2023
- [j22]T. Sang Nguyen, N. H. Hoang, C. K. Tan, Mohamed Azlan Hussain, Dominique Bonvin:
Output regulation via trajectory tracking for chemical reactors with jacket dynamics. Comput. Chem. Eng. 169: 108071 (2023) - [j21]Chanin Panjapornpon, Santi Bardeeniz, Mohamed Azlan Hussain:
Deep learning approach for energy efficiency prediction with signal monitoring reliability for a vinyl chloride monomer process. Reliab. Eng. Syst. Saf. 231: 109008 (2023) - 2022
- [j20]N. H. Hoang, T. S. Nguyen, T. K. P. Le, T. T. H. Phan, Mohamed Azlan Hussain, Denis Dochain:
Trajectory tracking for nonlinear systems using extended quadratic port-Hamiltonian models without input and state coordinate transformations. Syst. Control. Lett. 167: 105325 (2022) - 2021
- [j19]T. Sang Nguyen, C. K. Tan, N. Ha Hoang, Mohamed Azlan Hussain, Dominique Bonvin:
A perturbed Port-Hamiltonian approach for the stabilization of homogeneous reaction systems via the control of vessel extents. Comput. Chem. Eng. 154: 107458 (2021) - 2020
- [j18]Norazwan Md Nor, Mohamed Azlan Hussain, Che Rosmani Che Hassan:
Multi-scale kernel Fisher discriminant analysis with adaptive neuro-fuzzy inference system (ANFIS) in fault detection and diagnosis framework for chemical process systems. Neural Comput. Appl. 32(13): 9283-9297 (2020)
2010 – 2019
- 2019
- [j17]T. Sang Nguyen, N. Ha Hoang, Mohamed Azlan Hussain:
Feedback passivation plus tracking-error-based multivariable control for a class of free-radical polymerisation reactors. Int. J. Control 92(9): 1970-1984 (2019) - [c2]Mohamed Azlan Hussain, Jarinah Mohd Ali:
Hybrid Observer for parameter estimation and control in a polymerization process. ICCAD 2019: 1-3 - 2017
- [j16]Norazwan Md Nor, Mohamed Azlan Hussain, Che Rosmani Che Hassan:
Fault diagnosis and classification framework using multi-scale classification based on kernel Fisher discriminant analysis for chemical process system. Appl. Soft Comput. 61: 959-972 (2017) - 2016
- [j15]Jarinah Mohd Ali, N. Ha Hoang, Mohamed Azlan Hussain, Denis Dochain:
Hybrid observer for parameters estimation in ethylene polymerization reactor: A simulation study. Appl. Soft Comput. 49: 687-698 (2016) - [j14]Nasser Mohamed Ramli, Mohamed Azlan Hussain, Badrul Mohamed Jan:
Multivariable control of a debutanizer column using equation based artificial neural network model inverse control strategies. Neurocomputing 194: 135-150 (2016) - 2015
- [j13]Jarinah Mohd Ali, N. Ha Hoang, Mohamed Azlan Hussain, Denis Dochain:
Review and classification of recent observers applied in chemical process systems. Comput. Chem. Eng. 76: 27-41 (2015) - [j12]Vahid Akbari, Tohid Nejad Ghaffar Borhani, Roya Aramesh, Mohd Kamaruddin Abd Hamid, Ahmad Shamiri, Mohamed Azlan Hussain:
Evaluation of hydrodynamic behavior of the perforated gas distributor of industrial gas phase polymerization reactor using CFD-PBM coupled model. Comput. Chem. Eng. 82: 344-361 (2015) - [j11]Jarinah Mohd Ali, Mohamed Azlan Hussain, Moses O. Tadé, Jie Zhang:
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Syst. Appl. 42(14): 5915-5931 (2015) - 2014
- [j10]Shazzat Hossain, Mohamed Azlan Hussain, Rosli Bin Omar:
Advanced control software framework for process control applications. Int. J. Comput. Intell. Syst. 7(1): 37-49 (2014) - [j9]Nasser Mohamed Ramli, Mohamed Azlan Hussain, Badrul Mohamed Jan, Bawadi Abdullah:
Composition Prediction of a Debutanizer Column using Equation Based Artificial Neural Network Model. Neurocomputing 131: 59-76 (2014) - [j8]Mohd Fauzi Zanil, A. M. Norhuda, Mohamed Azlan Hussain, R. Omar:
Hybrid model of pH neutralization for a pilot plant. J. Intell. Fuzzy Syst. 26(2): 551-561 (2014) - 2012
- [j7]Ahmad Shamiri, Mohamed Azlan Hussain, Farouq Sabri Mjalli, Navid Mostoufi:
Improved single phase modeling of propylene polymerization in a fluidized bed reactor. Comput. Chem. Eng. 36: 35-47 (2012) - [j6]Mohd Nazri Mohd Fuad, Mohamed Azlan Hussain, Adam Zakaria:
Optimization strategy for long-term catalyst deactivation in a fixed-bed reactor for methanol synthesis process. Comput. Chem. Eng. 44: 104-126 (2012) - 2011
- [j5]Chew Chun Ming, Mohamed Azlan Hussain, Mohamed Kheireddine Aroua:
Neural network based controller for Cr6+-Fe2+ batch reduction process. Neurocomputing 74(18): 3773-3784 (2011) - 2010
- [j4]J. S. Lim, Mohamed Azlan Hussain, Mohamed Kheireddine Aroua:
Control of a hydrolyzer in an oleochemical plant using neural network based controllers. Neurocomputing 73(16-18): 3242-3255 (2010)
2000 – 2009
- 2008
- [j3]Azwar, M. M. Rashid, Mohamed Azlan Hussain:
Design of AI neural network based controller for controlling dissolved oxygen concentration in a sequencing batch reactor. Int. J. Knowl. Based Intell. Eng. Syst. 12(2): 121-136 (2008) - [c1]Muhammad Mahbubur Rashid, Nasrudin Abd. Rahim, Mohamed Azlan Hussain, F. Mohamed, Md. Azizur Rahman:
Development and Testing of Hybrid Fuzzy Logic Controller for Car Suspension System Using Magneto-Rheological Damper. IAS 2008: 1-8 - 2005
- [j2]Wachira Daosud, Piyanuch Thitiyasook, Amornchai Arpornwichanop, Paisan Kittisupakorn, Mohamed Azlan Hussain:
Neural network inverse model-based controller for the control of a steel pickling process. Comput. Chem. Eng. 29(10): 2110-2119 (2005)
1990 – 1999
- 1999
- [j1]Mohamed Azlan Hussain:
Review of the applications of neural networks in chemical process control - simulation and online implementation. Artif. Intell. Eng. 13(1): 55-68 (1999)
Coauthor Index
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