Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Sharifah Saon"'
Autor:
Umi Fadlilah, Raden A.R. Prasetyo, Abd K. Mahamad, Bana Handaga, Sharifah Saon, Endah Sudarmilah
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 3, Pp 574-584 (2022)
Deaf people have hearing loss from mild to very severe. Such people have difficulty processing language information both with and without hearing aids. Deaf people who do not use hearing aids use sign language in their everyday conversations. At the
Externí odkaz:
https://doaj.org/article/aa9443b0308d4938bb4a66bd277c60e7
Autor:
Iffah Zulaikha Saiful Bahri, Sharifah Saon, Abd Kadir Mahamad, Khalid Isa, Umi Fadlilah, Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi
Publikováno v:
Information, Vol 14, Iss 6, p 319 (2023)
This research proposes a study on two-way communication between deaf/mute and normal people using an Android application. Despite advancements in technology, there is still a lack of mobile applications that facilitate two-way communication between d
Externí odkaz:
https://doaj.org/article/8c0a386e11114e1394d9a590f1409c51
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 34 (2023)
Online services, ambient services, and recommendation systems take user preferences into data processing so that the services can be tailored to the customer’s preferences. Associative rules have been used to capture combinations of frequently pref
Externí odkaz:
https://doaj.org/article/b5c588174f054a5ca0697382b4d51012
Autor:
Hussein Ali Ameen, Abd Kadir Mahamad, Bilal Bahaa Zaidan, Aws Alaa Zaidan, Sharifah Saon, Danial Md Nor, Rami Qays Malik, Zahraa Hashim Kareem, Salem Garfan, Ruqayah Alaa Zaidan, Ali Mohammed
Publikováno v:
IEEE Access, Vol 7, Pp 158349-158378 (2019)
Data exchange in Vehicle-to-vehicle (V2V) communications systems is a field that requires automated solutions, tools and methods and the capability to facilitate early detection and even a prediction. Many studies have focused on V2V system and its c
Externí odkaz:
https://doaj.org/article/894e8ac60b4f4418a38501d240a33570
Autor:
Hussein Ali Ameen, Abd Kadir Mahamad, Sharifah Saon, Rami Qays Malik, Zahraa Hashim Kareem, Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi
Publikováno v:
Information, Vol 12, Iss 5, p 194 (2021)
Driver behavior is a determining factor in more than 90% of road accidents. Previous research regarding the relationship between speeding behavior and crashes suggests that drivers who engage in frequent and extreme speeding behavior are overinvolved
Externí odkaz:
https://doaj.org/article/19882574f1234186b7cc62990f2d538e
Publikováno v:
Information, Vol 12, Iss 1, p 30 (2021)
This paper proposes a method to ensure compatibility between physical devices for implementing a service design. The method supports the relaxation of strict implementation. It allows a set of compatible devices to be implemented instead of specifyin
Externí odkaz:
https://doaj.org/article/706246b8d08d44bfbd67592c00af9817
Autor:
Aizat Zafri Zainodin, Alice Lee, Sharifah Saon, Abd Kadir Mahamad, Mohd Anuaruddin Ahmadon, Shingo Yamaguchi
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811974465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c37e63d0cb259d712a2d8cfd8bd4bf
https://doi.org/10.1007/978-981-19-7447-2_31
https://doi.org/10.1007/978-981-19-7447-2_31
Autor:
Alice Lee, Aizat Zafri Zainodin, Abd Kadir Mahamad, Sharifah Saon, Mohd Anuaruddin Ahmadon, Shingo Yamaguchi
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811974465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5c1b4f4fea38ed2b310fa96560eae0
https://doi.org/10.1007/978-981-19-7447-2_32
https://doi.org/10.1007/978-981-19-7447-2_32
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:3341-3352
This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69625a5823537b1f40fc1942f00cd769
https://doi.org/10.11591/eei.v10i6.2332
https://doi.org/10.11591/eei.v10i6.2332
Publikováno v:
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 62-77
Leaf identification image is consistently a difficult task when using computer vision. The convolutional component extraction methods on images have their impediment and limitation, such as low accuracy, are not adaptable and less promising when conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8580170d0fd0b2eb785aa2a5fa6dca5
https://online-journals.org/index.php/i-jim/article/view/31881
https://online-journals.org/index.php/i-jim/article/view/31881