Real-time driver drowsiness detection for android application using deep neural networks techniques R Jabbar, K Al-Khalifa, M Kharbeche, W Alhajyaseen, M Jafari, S Jiang Procedia computer science 130, 400-407, 2018 | 207 | 2018 |
Using the competing values framework to investigate the culture of Qatar industries KN Al-Khalifa, EM Aspinwall Total Quality Management 12 (4), 417-428, 2001 | 202 | 2001 |
The development of total quality management in Qatar KN Al‐khalifa, EM Aspinwall The TQM Magazine 12 (3), 194-204, 2000 | 184 | 2000 |
Condition-based maintenance for continuously monitored degrading systems with multiple failure modes X Liu, J Li, KN Al-Khalifa, AS Hamouda, DW Coit, EA Elsayed IIE transactions 45 (4), 422-435, 2013 | 179 | 2013 |
Driver drowsiness detection model using convolutional neural networks techniques for android application R Jabbar, M Shinoy, M Kharbeche, K Al-Khalifa, M Krichen, K Barkaoui 2020 IEEE International Conference on Informatics, IoT, and Enabling …, 2020 | 130 | 2020 |
Age replacement models: A summary with new perspectives and methods X Zhao, KN Al-Khalifa, AM Hamouda, T Nakagawa Reliability Engineering & System Safety 161, 95-105, 2017 | 105 | 2017 |
Blockchain for the internet of vehicles: A decentralized IoT solution for vehicles communication using ethereum R Jabbar, M Kharbeche, K Al-Khalifa, M Krichen, K Barkaoui Sensors 20 (14), 3928, 2020 | 76 | 2020 |
Using the competing values framework to identify the ideal culture profile for TQM: a UK perspective KN Al-Khalifa, EM Aspinwall International journal of Manufacturing technology and management 2 (1-7 …, 2000 | 67 | 2000 |
An empirical study on lean awareness and potential for lean implementations in Qatar industries R Salem, F Musharavati, AM Hamouda, KN Al-Khalifa The International Journal of Advanced Manufacturing Technology 82, 1607-1625, 2016 | 59 | 2016 |
Variable selection‐based multivariate cumulative sum control chart GM Abdella, KN Al‐Khalifa, S Kim, MK Jeong, EA Elsayed, AM Hamouda Quality and Reliability Engineering International 33 (3), 565-578, 2017 | 46 | 2017 |
Penalized Conway-Maxwell-Poisson regression for modelling dispersed discrete data: The case study of motor vehicle crash frequency GM Abdella, J Kim, KN Al-Khalifa, AM Hamouda Safety Science 120, 157-163, 2019 | 45 | 2019 |
Control charts for variability monitoring in high-dimensional processes J Kim, GM Abdella, S Kim, KN Al-Khalifa, AM Hamouda Computers & Industrial Engineering 130, 309-316, 2019 | 44 | 2019 |
Urban traffic monitoring and modeling system: An iot solution for enhancing road safety R Jabbar, M Shinoy, M Kharbeche, K Al-Khalifa, M Krichen, K Barkaoui 2019 international conference on internet of things, embedded systems and …, 2019 | 41 | 2019 |
Critical success factors of TQM: a UK study K Al-Khalifa, E Aspinwall International Journal of Productivity and Quality Management 3 (4), 430-443, 2008 | 41 | 2008 |
First and last triggering event approaches for replacement with minimal repairs X Zhao, KN Al-Khalifa, AM Hamouda, T Nakagawa IEEE Transactions on Reliability 65 (1), 197-207, 2015 | 40 | 2015 |
Criticality measures for components with multi-dimensional degradation X Liu, KN Al-Khalifa, EA Elsayed, DW Coit, AS Hamouda Iie Transactions 46 (10), 987-998, 2014 | 35 | 2014 |
Approximate methods for optimal replacement, maintenance, and inspection policies X Zhao, KN Al-Khalifa, T Nakagawa Reliability Engineering & System Safety 144, 68-73, 2015 | 32 | 2015 |
Double EWMA‐Based Polynomial Quality Profiles Monitoring GM Abdella, J Kim, KN Al‐Khalifa, AM Hamouda Quality and Reliability Engineering International 32 (8), 2639-2652, 2016 | 28 | 2016 |
Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule GM Abdella, MR Maleki, S Kim, KN Al-Khalifa, AMS Hamouda Computers & Industrial Engineering 144, 106465, 2020 | 25 | 2020 |
Ridge penalization-based generalized linear model (GzLM) for predicting risky-driving index KBA Rouf, GM Abdella, KN Al-Khalifa, W Alhajyaseen The Proceedings of the International Conference on Industrial Engineering …, 2018 | 22 | 2018 |