State-of-the-art soft computing techniques in image steganography domain
The deaf normally considered to be disabled that do not need any mobile technology due to the inabilities of hearing and talking. However, many deaf are using mobile phone in their daily life for various purposes such as communication and learning. Many studies have attempted to identify the need of...
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my.uum.repo.195172016-11-15T03:53:40Z http://repo.uum.edu.my/19517/ State-of-the-art soft computing techniques in image steganography domain Hussain, Hanizan Shaker Din, Roshidi Abdul Samad, Hafiza Yaacub, Mohd Hanafizah Murad, Roslinda A., Rukhiyah Sabdri, Noor Maizatulshima QA75 Electronic computers. Computer science The deaf normally considered to be disabled that do not need any mobile technology due to the inabilities of hearing and talking. However, many deaf are using mobile phone in their daily life for various purposes such as communication and learning. Many studies have attempted to identify the need of deaf people in mobile application and level of usage of the applications. This study aims in studying the recent research conducted on deaf mobile application to understand the level of importance of mobile technology for this disabled community.This paper enable identification of studies conducted are limited and the need of more research done of this disabled people to ensure their privilege of using mobile technology and its application, which leads to the identification of deaf user requirement for mobile application as future study. 2016 Conference or Workshop Item PeerReviewed Hussain, Hanizan Shaker and Din, Roshidi and Abdul Samad, Hafiza and Yaacub, Mohd Hanafizah and Murad, Roslinda and A., Rukhiyah and Sabdri, Noor Maizatulshima (2016) State-of-the-art soft computing techniques in image steganography domain. In: 2016 International Conference on Applied Science and Technology (ICAST 2016), 11–13 April 2016, Kedah, Malaysia. http://doi.org/10.1063/1.4960877 doi:10.1063/1.4960877 |
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QA75 Electronic computers. Computer science Hussain, Hanizan Shaker Din, Roshidi Abdul Samad, Hafiza Yaacub, Mohd Hanafizah Murad, Roslinda A., Rukhiyah Sabdri, Noor Maizatulshima State-of-the-art soft computing techniques in image steganography domain |
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The deaf normally considered to be disabled that do not need any mobile technology due to the inabilities of hearing and talking. However, many deaf are using mobile phone in their daily life for various purposes such as communication and learning. Many studies have attempted to identify the need of deaf people in mobile application and
level of usage of the applications. This study aims in studying the recent research conducted on deaf mobile application to understand the level of importance of mobile technology for this disabled community.This paper enable identification of studies conducted are limited and the need of more research done of this disabled people to ensure their privilege of using mobile technology and its application, which leads to the identification of deaf user requirement for mobile application as future study. |
format |
Conference or Workshop Item |
author |
Hussain, Hanizan Shaker Din, Roshidi Abdul Samad, Hafiza Yaacub, Mohd Hanafizah Murad, Roslinda A., Rukhiyah Sabdri, Noor Maizatulshima |
author_facet |
Hussain, Hanizan Shaker Din, Roshidi Abdul Samad, Hafiza Yaacub, Mohd Hanafizah Murad, Roslinda A., Rukhiyah Sabdri, Noor Maizatulshima |
author_sort |
Hussain, Hanizan Shaker |
title |
State-of-the-art soft computing techniques in image steganography domain |
title_short |
State-of-the-art soft computing techniques in image steganography domain |
title_full |
State-of-the-art soft computing techniques in image steganography domain |
title_fullStr |
State-of-the-art soft computing techniques in image steganography domain |
title_full_unstemmed |
State-of-the-art soft computing techniques in image steganography domain |
title_sort |
state-of-the-art soft computing techniques in image steganography domain |
publishDate |
2016 |
url |
http://repo.uum.edu.my/19517/ http://doi.org/10.1063/1.4960877 |
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1644282721543913472 |