Article

Qayyum, A. and Mazher, M. and Nuhu, A. and Benzinou, A. and Malik, A.S. and Razzak, I. (2023) Assessment of physiological states from contactless face video: a sparse representation approach. Computing, 105 (4). pp. 761-781. ISSN 0010485X

Mazher, M. and Qayyum, A. and Ahmad, I. and Alassafi, M.O. (2022) Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality. Neural Computing and Applications, 34 (14). pp. 11395-11410. ISSN 09410643

Qayyum, A. and Ahmad, I. and Mumtaz, W. and Alassafi, M.O. and Alghamdi, R. and Mazher, M. (2020) Automatic segmentation using a hybrid dense network integrated with an 3D-atrous spatial pyramid pooling module for computed tomography (CT) imaging. IEEE Access, 8. pp. 169794-169803. ISSN 21693536

Qayyum, A. and Ahmad, I. and Iftikhar, M. and Mazher, M. (2020) Object detection and fuzzy-based classification using UAV data. Intelligent Automation and Soft Computing, 26 (4). pp. 693-702. ISSN 10798587

Qayyum, A. and Malik, A. and M Saad, N. and Mazher, M. (2019) Designing deep CNN models based on sparse coding for aerial imagery: a deep-features reduction approach. European Journal of Remote Sensing, 52 (1). pp. 221-239. ISSN 22797254

Mazher, M. and Abd Aziz, A. and Malik, A.S. and Ullah Amin, H. (2017) An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence. IEEE Access, 5. pp. 14819-14829. ISSN 21693536

Conference or Workshop Item

Qayyum, A. and Ang, C.K. and Sridevi, S. and Ahamed Khan, M.K.A. and Hong, L.W. and Mazher, M. and Chung, T.D. (2020) Hybrid 3D-ResNet deep learning model for automatic segmentation of thoracic organs at risk in CT images. In: UNSPECIFIED.

Qayyum, A. and Faye, I. and Malik, A.S. and Mazher, M. (2019) Assessment of cognitive load using multimedia learning and resting states with deep learning perspective. In: UNSPECIFIED.

Mazher, M. and Faye, I. and Qayyum, A. and Malik, A.S. (2019) Classification of resting and cognitive states using EEG-based feature extraction and connectivity approach. In: UNSPECIFIED.

Qayyum, A. and Ahamed Khan, M.K.A. and Mazher, M. and Suresh, M. and Jamal, D.N. and Duc Chung, J.T. (2019) Convolutional Neural Network Approach for Estimating Physiological States Involving Face Analytics. In: UNSPECIFIED.

Qayyum, A. and Khan, M.K.A.A. and Mazher, M. and Suresh, M. (2018) Classification of EEG Learning and Resting States using 1D-Convolutional Neural Network for Cognitive Load Assesment. In: UNSPECIFIED.

Mazher, M. and Aziz, A.A. and Malik, A.S. (2017) Evaluation of rehearsal effects of multimedia content based on EEG using machine learning algorithms. In: UNSPECIFIED.

Qayyum, A. and Malik, A.S. and Naufal, M. and Saad, M. and Mazher, M. and Rasheed, W. and Abdullah, T.A.R.B.T. (2016) Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery. In: UNSPECIFIED.

Qayyum, A. and Malik, A.S. and Naufal, M. and Saad, M. and Mazher, M. and Abdullah, F. and Abdullah, T.A.R.B.T. (2016) Designing of overcomplete dictionaries based on DCT and DWT. In: UNSPECIFIED.

Qayyum, A. and Malik, A.S. and Nuafal, M. and Mazher, M. and Ahmad, R.F. and Abdullah, M.F. (2016) Evaluation of optimization algorithms for sparse and redundant dictionaries. In: UNSPECIFIED.

Mazher, M. and Aziz, A.B.A. and Malik, A.S. and Qayyum, A. (2016) A comparison of brain regions based on EEG during multimedia learning cognitive activity. In: UNSPECIFIED.

Mazher, M. and Aziz, A.A. and Malik, A.S. and Qayyum, A. (2016) A statistical analysis on learning and non-learning mental states using EEG. In: UNSPECIFIED.