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Name : Yaser Salah

Academic Rank: Assistant Professor

Administrative Position : Faculty Academic Member

Office 7308 Ext No 7308

Email : yaser.saleh@uop.edu.jo

Specialization: Computer Science

Graduate Of: Loughborough University

Qualification

Qualification	University	Country	Year
Bachelor	University Of Petra	Jordan	2011
Master's	Princess Sumaya University for Technology	Jordan	2014
Ph.D	Loughborough University	United Kingdom	2017

Journal Paper

Yaser Saleh, Nesreen Otoum, " Road-Type Classification through Deep Learning Networks Fine-Tuning " , "Journal of Information & Knowledge Management",Vol.19,No., World Scientific Publishing Company, Amman, Jordan, 03/11/2020

Yaser Saleh, Ghassa Issa, " Arabic sign language recognition through deep neural networks fine-tuning " , "International Journal of Online and Biomedical Engineering (iJOE)",Vol.16,No., Kassel University Press GmbH, Germany, 05/14/2020

Abstract:

Sign Language is considered the main communication tool for deaf or hearing impaired people. It is a visual language that uses hands and other parts of the body to provide people who are in need to full access of communication with the world. Accordingly, the automation of sign language recognition

Conference paper

Yaser Saleh, Eran Edirisinghe, " Novel approach to enhance face recognition using depth maps " , "Systems, Signals and Image Processing (IWSSIP), 2016 International Conference on",Vol.,No., IEEE, , 07/04/2016

Abstract:

Face recognition, although being a popular area of research and study, still has many challenges, and with the appearance of the Microsoft Kinect device, new possibilities of research were uncovered, one of which is face recognition using the Kinect. With the goal of enhancing face recognition, this

Yaser Saleh, Eran Edirisinghe, " 3D face reconstruction and recognition using the overfeat network " , "Information and Communication Systems (ICICS), 2017 8th International Conference on",Vol.,No., IEEE, , 05/11/2017

Abstract:

Although face recognition is considered a popular area of research and study, it still has few unresolved challenges, and with the appearance of devices such as the Microsoft Kinect, new possibilities for researchers were uncovered. With the goal of enhancing face recognition techniques, this paper

Yaser Saleh, " DEPTH FACE RECOGNITION THROUGH DEEP LEARNING NETWORKS FINE-TUNING " , "Proceedings of Academicsera 18th International Conference",Vol.7,No., WorldResearchLibrary, Sydney, Australia, 05/06/2018

Abstract:

Face recognition still has many challenges, and with the appearance of the Microsoft Kinect device, new potentials of research were discovered, trying to use the Kinect depth maps as a data source to recognize human faces was considered an interesting research area, mainly because the Kinect could p Download

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