Items where Author is "Awais, M."

Article

Mahum, R. and Munir, H. and Mughal, Z.-U.-N. and Awais, M. and Sher Khan, F. and Saqlain, M. and Mahamad, S. and Tlili, I. (2022) A novel framework for potato leaf disease detection using an efficient deep learning model. Human and Ecological Risk Assessment.

Mahum, R. and Munir, H. and Mughal, Z.-U.-N. and Awais, M. and Sher Khan, F. and Saqlain, M. and Mahamad, S. and Tlili, I. (2022) A novel framework for potato leaf disease detection using an efficient deep learning model. Human and Ecological Risk Assessment.

Awais, M. and Ghayvat, H. and Krishnan Pandarathodiyil, A. and Nabillah Ghani, W.M. and Ramanathan, A. and Pandya, S. and Walter, N. and Naufal Saad, M. and Zain, R.B. and Faye, I. (2020) Healthcare professional in the loop (HPIL): Classification of standard and oral cancer-causing anomalous regions of oral cavity using textural analysis technique in autofluorescence imaging. Sensors (Switzerland), 20 (20). pp. 1-25.

Awais, M. and Ghayvat, H. and Krishnan Pandarathodiyil, A. and Nabillah Ghani, W.M. and Ramanathan, A. and Pandya, S. and Walter, N. and Naufal Saad, M. and Zain, R.B. and Faye, I. (2020) Healthcare professional in the loop (HPIL): Classification of standard and oral cancer-causing anomalous regions of oral cavity using textural analysis technique in autofluorescence imaging. Sensors (Switzerland), 20 (20). pp. 1-25.

Irfan, M. and Saad, N. and Alwadie, A. and Awais, M. and Aman Sheikh, M. and Glowacz, A. and Kumar, V. (2019) An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults. Journal of Failure Analysis and Prevention, 19 (1). pp. 98-105.

Irfan, M. and Saad, N. and Alwadie, A. and Awais, M. and Aman Sheikh, M. and Glowacz, A. and Kumar, V. (2019) An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults. Journal of Failure Analysis and Prevention, 19 (1). pp. 98-105.

Awais, M. and Badruddin, N. and Drieberg, M. (2018) EEG Brain Connectivity Analysis to Detect Driver Drowsiness Using Coherence. Proceedings - 2017 International Conference on Frontiers of Information Technology, FIT 2017, 2017-J. pp. 110-114.

Awais, M. and Badruddin, N. and Drieberg, M. (2017) A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and Wearability. Sensors (Switzerland), 17 (9).

Conference or Workshop Item

Irfan, M. and Saad, N. and Ali, A. and Vinoth Kumar, K. and Aman Sheikh, M. and Awais, M. (2019) A Condition Monitoring System for the Analysis of Bearing Distributed Faults. In: UNSPECIFIED.

Irfan, M. and Saad, N. and Ali, A. and Vinoth Kumar, K. and Aman Sheikh, M. and Awais, M. (2019) A Condition Monitoring System for the Analysis of Bearing Distributed Faults. In: UNSPECIFIED.

Awais, M. and Walter, N. and Faye, I. and Saad, M.N. and Ramanathan, A. and Zain, R.M. (2015) Analysis of auto-fluorescence images for automatic detection of abnormalities in oral cavity. In: UNSPECIFIED.

Awais, M. and Walter, N. and Faye, I. and Saad, M.N. and Ramanathan, A. and Zain, R.M. (2015) Analysis of auto-fluorescence images for automatic detection of abnormalities in oral cavity. In: UNSPECIFIED.

Awais, M. and Badruddin, N. and Drieberg, M. (2015) A non-invasive approach to detect drowsiness in a monotonous driving environment. In: UNSPECIFIED.

Awais, M. and Badruddin, N. and Drieberg, M. (2014) Driver drowsiness detection using EEG power spectrum analysis. In: UNSPECIFIED.

Awais, M. and Badruddin, N. and Drieberg, M. (2014) A simulator based study to evaluate driver drowsiness using electroencephalogram. In: UNSPECIFIED.