Items where Author is "Subhani, A.R."

Naqvi, S.F. and Ali, S.S.A. and Yahya, N. and Yasin, M.A. and Hafeez, Y. and Subhani, A.R. and Adil, S.H. and Saggaf, U.M.A. and Moinuddin, M. (2020) Real-time stress assessment using sliding window based convolutional neural network. Sensors (Switzerland), 20 (16). pp. 1-17.

Naqvi, S.F. and Ali, S.S.A. and Yahya, N. and Yasin, M.A. and Hafeez, Y. and Subhani, A.R. and Adil, S.H. and Saggaf, U.M.A. and Moinuddin, M. (2020) Real-time stress assessment using sliding window based convolutional neural network. Sensors (Switzerland), 20 (16). pp. 1-17.

Subhani, A.R. and Mumtaz, W. and Kamil, N. and Saad, N.M. and Nandagopal, N. and Malik, A.S. (2018) MRMR based feature selection for the classification of stress using EEG. Proceedings of the International Conference on Sensing Technology, ICST, 2017-D. pp. 1-4.

Subhani, A.R. and Kamel, N. and Mohamad Saad, M.N. and Nandagopal, N. and Kang, K. and Malik, A.S. (2018) Mitigation of stress: new treatment alternatives. Cognitive Neurodynamics, 12 (1).

Xia, L. and Malik, A.S. and Subhani, A.R. (2018) A physiological signal-based method for early mental-stress detection. Biomedical Signal Processing and Control, 46. pp. 18-32.

Xia, L. and Malik, A.S. and Subhani, A.R. (2018) A physiological signal-based method for early mental-stress detection. Biomedical Signal Processing and Control, 46. pp. 18-32.

Subhani, A.R. and Malik, A.S. and Kamil, N. and Saad, M.N.M. (2017) Difference in brain dynamics during arithmetic task performed in stress and control conditions. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. pp. 695-698.

Subhani, A.R. and Mumtaz, W. and Saad, M.N.B.M. and Kamel, N. and Malik, A.S. (2017) Machine learning framework for the detection of mental stress at multiple levels. IEEE Access, 5. pp. 13545-13556.

Subhani, A.R. and Malik, A.S. and Kamil, N. and Naufal, M. and Saad, M. (2017) Using resting state coherence to distinguish between low and high stress groups. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Subhani, A.R. and Malik, A.S. and Kamel, N. and Saad, N. and Nandagopal, D.N. (2015) Experimental evidence for the effects of the Demand-Control model on the cognitive arousal: An EEG based study. In: UNSPECIFIED.

Xia, L. and Subhani, A.R. (2014) EEG and qEEG in psychiatry. CRC Press, pp. 175-194.

Amin, H.U. and Malik, A.S. and Subhani, A.R. and Badruddin, N. and Chooi, W.-T. (2013) Dynamics of scalp potential and autonomic nerve activity during intelligence test. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8226 L (PART 1). pp. 9-16.

Amin, H.U. and Malik, A.S. and Subhani, A.R. and Badruddin, N. and Chooi, W.-T. (2013) Dynamics of scalp potential and autonomic nerve activity during intelligence test. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8226 L (PART 1). pp. 9-16.

Amin, H.U. and Malik, A.S. and Subhani, A.R. and Badruddin, N. and Chooi, W.-T. (2013) Dynamics of scalp potential and autonomic nerve activity during intelligence test. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8226 L (PART 1). pp. 9-16.

Amin, H.U. and Malik, A.S. and Subhani, A.R. and Badruddin, N. and Chooi, W.-T. (2013) Dynamics of scalp potential and autonomic nerve activity during intelligence test. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8226 L (PART 1). pp. 9-16.

Subhani, A.R. and Xia, L. and Malik, A.S. and Othman, Z. (2013) Quantification of physiological disparities and task performance in stress and control conditions. In: UNSPECIFIED.