Defect detection methods for industrial products using deep learning techniques: A review A Saberironaghi, J Ren, M El-Gindy Algorithms 16 (2), 95, 2023 | 111 | 2023 |
Neural network and fuzzy logic applications to vehicle systems: literature survey AG Zadeh, A Fahim, M El–Gindy International Journal of Vehicle Design 18 (2), 132-193, 1997 | 106 | 1997 |
An overview of performance measures for heavy commercial vehicles in North America M El–Gindy International Journal of Vehicle Design 16 (4-5), 441-463, 1995 | 91 | 1995 |
Rollover dynamics of road vehicles: Literature survey RW Goldman, M El-Gindy, BT Kulakowski International Journal of Heavy Vehicle Systems 8 (2), 103-141, 2001 | 89 | 2001 |
Sensitivity of rearward amplication control of a truck/full trailer to tyre cornering stiffness variations M Ei-Gindy, N Mrad, X Tong Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2001 | 79 | 2001 |
Prediction of risk of wet-pavement accidents: Fuzzy logic model J Xiao, BT Kulakowski, M EI-Gindy Transportation Research Record 1717 (1), 28-36, 2000 | 73 | 2000 |
Technical report: Literature survey on driving simulator validation studies AH Hoskins, M El-Gindy International journal of heavy vehicle systems 13 (3), 241-252, 2006 | 57 | 2006 |
Heavy vehicle ride comfort: literature survey Z Jiang, DA Streit, M El-Gindy International Journal of Heavy Vehicle Systems 8 (3-4), 258-284, 2001 | 54 | 2001 |
Design of an active unilateral brake control system for five-axle tractor-semitrailer based on sensitivity analysis L Palkovics, M El-Gindy Vehicle System Dynamics 24 (10), 725-758, 1995 | 54 | 1995 |
Joint estimation of inconsistency and state of health for series battery packs Y Che, A Foley, M El-Gindy, X Lin, X Hu, M Pecht Automotive Innovation 4, 103-116, 2021 | 53 | 2021 |
Literature survey for autonomous vehicles: sensor fusion, computer vision, system identification and fault tolerance A Mohamed, J Ren, M El-Gindy, H Lang, AN Ouda International Journal of Automation and Control 12 (4), 555-581, 2018 | 50 | 2018 |
Examination of different control strategies of heavy-vehicle performance L Palkovics, M El-Gindy | 50 | 1996 |
Neural network representation of tyre characteristics: the Neuro–Tyre L Palkovics, M El–Gindy International Journal of Vehicle Design 14 (5-6), 563-591, 1993 | 49 | 1993 |
Improved tire-soil interaction model using FEA-SPH simulation Z El-Sayegh, M El-Gindy, I Johansson, F Öijer Journal of Terramechanics 78, 53-62, 2018 | 47 | 2018 |
A comparison of various computer simulation models for predicting the directional responses of articulated vehicles M El-Gindy, JY Wong Vehicle System Dynamics 16 (5-6), 249-268, 1987 | 44 | 1987 |
Possible application of artificial neural networks to vehicle dynamics and control: a literature review M El–Gindy, L Palkovics International Journal of Vehicle Design 14 (5-6), 592-614, 1993 | 43 | 1993 |
Neural networks representation of a vehicle model:'Neuro–Vehicle (NV)' A Ghazizadeh, A Fahim, M El–Gindy International journal of vehicle design 17 (1), 55-75, 1996 | 37 | 1996 |
Use of heavy vehicle performance measures for design and regulation. M El-Gindy ASME DYN SYST CONTROL DIV PUBL DSC, ASME, NEW YORK, NY(USA), 1992, 44, 367-382, 1992 | 36 | 1992 |
Prediction of rolling resistance and steering characteristics using finite element analysis truck tyre model R Ali, R Dhillon, M El-Gindy, F Öijer, I Johanson, M Trivedi International Journal of Vehicle Systems Modelling and Testing 8 (2), 179-201, 2013 | 34 | 2013 |
Development of truck tire-soil interaction model using FEA and SPH RS Dhillon, R Ali, M El-Gindy, D Philipps, F Oijer, I Johansson SAE Technical Paper, 2013 | 31 | 2013 |