| Wood defects classification using laws texture energy measures and supervised learning approach K Kamal, R Qayyum, S Mathavan, T Zafar Advanced Engineering Informatics 34, 125-135, 2017 | 90 | 2017 |
| An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm T Zafar, Y Zhang, Z Wang Computer Methods in Applied Mechanics and Engineering 372, 113386, 2020 | 62 | 2020 |
| Performance assessment of Kinect as a sensor for pothole imaging and metrology K Kamal, S Mathavan, T Zafar, I Moazzam, A Ali, SU Ahmad, M Rahman International Journal of Pavement Engineering 19 (7), 565-576, 2018 | 41 | 2018 |
| Wood defects classification using GLCM based features and PSO trained neural network R Qayyum, K Kamal, T Zafar, S Mathavan 2016 22nd International Conference on Automation and Computing (ICAC), 273-277, 2016 | 34 | 2016 |
| Energy prediction of a combined cycle power plant using a particle swarm optimization trained feedforward neural network M Rashid, K Kamal, T Zafar, Z Sheikh, A Shah, S Mathavan 2015 International Conference on Mechanical Engineering, Automation and …, 2015 | 32 | 2015 |
| An inspection approach for casting defects detection using image segmentation F Riaz, K Kamal, T Zafar, R Qayyum 2017 International Conference on Mechanical, System and Control Engineering …, 2017 | 25 | 2017 |
| Prediction of fatigue crack growth rate in aircraft aluminum alloys using radial basis function neural network HB Younis, K Kamal, MF Sheikh, A Hamza, T Zafar 2018 Tenth International Conference on Advanced Computational Intelligence …, 2018 | 23 | 2018 |
| Corrosion detection in industrial pipes using guided acoustics and radial basis function neural network M Fahad, K Kamal, T Zafar, R Qayyum, S Tariq, K Khan 2017 International Conference on Robotics and Automation Sciences (ICRAS …, 2017 | 21 | 2017 |
| Time-dependent reliability prediction using transfer learning T Zafar, Z Wang Structural and Multidisciplinary Optimization 62 (1), 147-158, 2020 | 17 | 2020 |
| Failure classification in natural gas pipe-lines using artificial intelligence: A case study A Manan, K Kamal, TAH Ratlamwala, MF Sheikh, AG Abro, T Zafar Energy Reports 7, 7640-7647, 2021 | 15 | 2021 |
| Tool health monitoring for wood milling process using Airborne Acoustic Emission T Zafar, K Kamal, Z Sheikh, S Mathavan, A Jehanghir, U Ali 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 14 | 2015 |
| A neural network based approach for background noise reduction in airborne acoustic emission of a machining process T. Zafar, K.Kamal, Z. Sheikh, S. Mathavan, U. Ali, H. Hashmi Journal of Mechanical Science and Technology 31 (7), 3171–3182, 2017 | 13 | 2017 |
| Smart phone interface for robust control of mobile robots T Zafar, MU Khan, A Nawaz, KF Ahmad 2014 IEEE International Conference on Autonomous Robot Systems and …, 2014 | 9 | 2014 |
| Stabilization of 3D pavement images for pothole metrology using the Kalman filter A Rasheed, K Kamal, T Zafar, S Mathavan, M Rahman 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 8 | 2015 |
| Tool health monitoring using airborne acoustic emission and a PSO-optimized neural network T Zafar, K Kamal, R Kumar, Z Sheikh, S Mathavan, U Ali 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 271-276, 2015 | 8 | 2015 |
| A time-dependent probabilistic fatigue analysis method considering stochastic loadings and strength degradation C Su, S Yu, Z Wang, Z Tayyab Advances in Mechanical Engineering 10 (7), 1687814018785560, 2018 | 6 | 2018 |
| An efficient method for time-dependent reliability prediction using domain adaptation T Zafar, Z Wang Structural and Multidisciplinary Optimization 62 (5), 2323-2340, 2020 | 5 | 2020 |
| Control of a ball-bot using a PSO trained neural network M Shaheer, H Hashmi, S Khan, M Atif, Z Shabbir, A Ali, K Kamal, T Zafar, ... 2016 2nd International Conference on Control, Automation and Robotics (ICCAR …, 2016 | 3 | 2016 |
| A Bio inspired UAV model based on Corvus Splendens A Jameel, S Khalid, M Khan, K Kamal, A Aqeel, S Mathavan, T Awais, ... 2015 International Conference on Fluid Power and Mechatronics (FPM), 797-802, 2015 | 3 | 2015 |
| A Hybrid Approach for Noise Reduction in Acoustic Signal of Machining Process Using Neural Networks and ARMA Model T Zafar, K Kamal, S Mathavan, G Hussain, M Alkahtani, FM Alqahtani, ... Sensors 21 (23), 8023, 2021 | 2 | 2021 |
