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Imran Razzak

Showing results (11-20 of 53) with videos related to

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Annals of Operations Research|July 12, 2021
Depth-wise dense neural network for automatic COVID19 infection detection and diagnosisAbdul Qayyum, Imran Razzak, M Tanveer, et al.
Image and Vision Computing|January 24, 2022
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in childrenAbdul Qayyum, Imran Razzak, Nour Moustafa, et al.
IEEE Journal of Biomedical and Health Informatics|July 20, 2022
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare SystemsMahmuda Akter, Nour Moustafa, Timothy Lynar, et al.
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|February 11, 2016
Discovering Diabetes Complications: an Ontology Based ModelTahani Daghistani, Riyad Al Shammari, Muhammad Imran Razzak
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During PandemicHamad Zogan, Imran Razzak, Shoaib Jameel, et al.
ISA Transactions|May 31, 2022
Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detectionAshraf Haroon Rashid, Imran Razzak, M Tanveer, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 15, 2019
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selectionImran Razzak, Raghib Abu Saris, Michael Blumenstein, et al.
Multimedia Tools and Applications|March 16, 2022
You can try without visiting: a comprehensive survey on virtually try-on outfitsHajer Ghodhbani, Mohamed Neji, Imran Razzak, et al.
Neural Computing & Applications|November 1, 2021
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regionsAbdul Qayyum, Mona Mazhar, Imran Razzak, et al.
World Wide Web|February 2, 2022
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social mediaHamad Zogan, Imran Razzak, Xianzhi Wang, et al.
Pageof 6

Showing results (11-20 of 53) with videos related to

Sort By:
Pageof 6
Annals of Operations Research|July 12, 2021
Depth-wise dense neural network for automatic COVID19 infection detection and diagnosisAbdul Qayyum, Imran Razzak, M Tanveer, et al.
Image and Vision Computing|January 24, 2022
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in childrenAbdul Qayyum, Imran Razzak, Nour Moustafa, et al.
IEEE Journal of Biomedical and Health Informatics|July 20, 2022
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare SystemsMahmuda Akter, Nour Moustafa, Timothy Lynar, et al.
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|February 11, 2016
Discovering Diabetes Complications: an Ontology Based ModelTahani Daghistani, Riyad Al Shammari, Muhammad Imran Razzak
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During PandemicHamad Zogan, Imran Razzak, Shoaib Jameel, et al.
ISA Transactions|May 31, 2022
Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detectionAshraf Haroon Rashid, Imran Razzak, M Tanveer, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 15, 2019
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selectionImran Razzak, Raghib Abu Saris, Michael Blumenstein, et al.
Multimedia Tools and Applications|March 16, 2022
You can try without visiting: a comprehensive survey on virtually try-on outfitsHajer Ghodhbani, Mohamed Neji, Imran Razzak, et al.
Neural Computing & Applications|November 1, 2021
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regionsAbdul Qayyum, Mona Mazhar, Imran Razzak, et al.
World Wide Web|February 2, 2022
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social mediaHamad Zogan, Imran Razzak, Xianzhi Wang, et al.
Pageof 6