| Prediction of surface roughness in the end milling machining using Artificial Neural Network AM Zain, H Haron, S Sharif Expert Systems with Applications 37 (2), 1755-1768, 2010 | 448 | 2010 |
| Overview of NSGA-II for optimizing machining process parameters Y Yusoff, MS Ngadiman, AM Zain Procedia Engineering 15, 3978-3983, 2011 | 323 | 2011 |
| Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011) N Yusup, AM Zain, SZM Hashim Expert Systems with Applications 39 (10), 9909-9927, 2012 | 294 | 2012 |
| Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process AM Zain, H Haron, S Sharif Expert Systems with Applications 37 (6), 4650-4659, 2010 | 257 | 2010 |
| Fuzzy logic for modeling machining process: a review MRH Mohd Adnan, A Sarkheyli, A Mohd Zain, H Haron Artificial Intelligence Review 43, 345-379, 2015 | 167 | 2015 |
| Levy flight algorithm for optimization problems-a literature review AF Kamaruzaman, AM Zain, SM Yusuf, A Udin Applied Mechanics and Materials 421, 496-501, 2013 | 133 | 2013 |
| Firefly algorithm for optimization problem NF Johari, AM Zain, MH Noorfa, A Udin Applied Mechanics and Materials 421, 512-517, 2013 | 116 | 2013 |
| Cuckoo search algorithm for optimization problems—a literature review and its applications AB Mohamad, AM Zain, NE Nazira Bazin Applied Artificial Intelligence 28 (5), 419-448, 2014 | 115 | 2014 |
| Optimization of process parameters in the abrasive waterjet machining using integrated SA–GA AM Zain, H Haron, S Sharif Applied soft computing 11 (8), 5350-5359, 2011 | 102 | 2011 |
| Estimation of the minimum machining performance in the abrasive waterjet machining using integrated ANN-SA AM Zain, H Haron, S Sharif Expert Systems with Applications 38 (7), 8316-8326, 2011 | 98 | 2011 |
| Overview of PSO for optimizing process parameters of machining N Yusup, AM Zain, SZM Hashim Procedia Engineering 29, 914-923, 2012 | 96 | 2012 |
| Overview of support vector machine in modeling machining performances AM Deris, AM Zain, R Sallehuddin Procedia Engineering 24, 308-312, 2011 | 91 | 2011 |
| Multi-objective hybrid evolutionary algorithms for radial basis function neural network design SN Qasem, SM Shamsuddin, AM Zain Knowledge-Based Systems 27, 475-497, 2012 | 86 | 2012 |
| Real-time DDoS attack detection system using big data approach MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee, M Hussain, ... Sustainability 13 (19), 10743, 2021 | 84 | 2021 |
| Potential of conformal cooling channels in rapid heat cycle molding: a review Z Shayfull, S Sharif, AM Zain, MF Ghazali, RM Saad Advances in Polymer Technology 33 (1), 2014 | 84 | 2014 |
| Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014–2017) NM Hatta, AM Zain, R Sallehuddin, Z Shayfull, Y Yusoff Artificial Intelligence Review 52, 2651-2683, 2019 | 82 | 2019 |
| Robust optimization of ANFIS based on a new modified GA A Sarkheyli, AM Zain, S Sharif Neurocomputing 166, 357-366, 2015 | 79 | 2015 |
| Regression and ANN models for estimating minimum value of machining performance AM Zain, H Haron, SN Qasem, S Sharif Applied Mathematical Modelling 36 (4), 1477-1492, 2012 | 79 | 2012 |
| Fuzzy Petri nets and industrial applications: a review KQ Zhou, AM Zain Artificial Intelligence Review 45, 405-446, 2016 | 74 | 2016 |
| Estimation of optimal machining control parameters using artificial bee colony N Yusup, A Sarkheyli, AM Zain, SZM Hashim, N Ithnin Journal of Intelligent Manufacturing 25 (6), 1463-1472, 2014 | 74 | 2014 |
safian sharifProfessor of Manufacturing, Universiti Teknologi MalaysiaVerified email at fkm.utm.my
