Ghazal Bargshady
Ghazal Bargshady
Postdoctoral Research Fellow, University of Canberra, Faculty of Science and Technology
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Enhanced deep learning algorithm development to detect pain intensity from facial expression images
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Expert Systems with Applications 149, 113305, 2020
The effect of information technology on the agility of the supply chain in the Iranian power plant industry
G Bargshady, SM Zahraee, M Ahmadi, A Parto
Journal of Manufacturing Technology Management, 2016
Business Inteligence Technology Implimentation Readiness Factors
G Bargshady, F Alipanah, AW Abdulrazzaq, F Chukwunonso
Jurnal Teknologi 68 (3), 2014
A joint deep neural network model for pain recognition from face
G Bargshady, S Jeffrey, Z Xujuan, CD Ravinesh, W Frank, H Wang
IEEE 4th International Conference on Computer and Communication Systems, 2019
The effective factors on user acceptance in mobile business intelligence
G Bargshady, K Pourmahdi, P Khodakarami, T Khodadadi, F Alipanah
Jurnal Teknologi 72 (4), 2015
Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach
M Abdar, E Nasarian, X Zhou, G Bargshady, VN Wijayaningrum, ...
2019 IEEE 4th International Conference on Computer and Communication Systemsá…, 2019
Deep learning model for detection of pain intensity from facial expression
J Soar, G Bargshady, X Zhou, F Whittaker
International Conference on Smart Homes and Health Telematics, 249-254, 2018
Ensemble neural network approach detecting pain intensity from facial expressions
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Artificial Intelligence in Medicine 109, 101954, 2020
A Relational Study of Supply Chain Agility and Firms' Performance in the Services Providers
G Bargshady, A Chegeni, S Kamranvand, SM Zahraee
International Review of Management and Marketing 6 (4S), 2016
Evaluation of firm's potential in adoption of green IT
G Bargshady, M Ahmadi, AW Abdulrazzaq, SM Zahraee
American-Eurasian Journal of Sustainable Agriculture, 8-14, 2014
A survey on text classification and its applications
X Zhou, R Gururajan, Y Li, R Venkataraman, X Tao, G Bargshady, ...
Web Intelligence, 1-12, 2020
A case study of predicting banking customers behaviour by using data mining
X Zhou, G Bargshady, M Abdar, X Tao, R Gururajan, KC Chan
2019 6th International Conference on Behavioral, Economic and Socio-Culturalá…, 2019
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Applied Soft Computing 97, 106805, 2020
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
X Zhou, Y Li, R Gururajan, G Bargshady, X Tao, R Venkataraman, ...
2020 7th International Conference on Behavioural and Social Computing (BESCá…, 2020
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
G Bargshady
University of Southern Queensland, 2020
Copyrightę 2014, American-Eurasian Network for Scientific Information publisher
G Bargshady, M Ahmadi, AW Abdulrazzaq, SM Zahraee
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