Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Yussof, Salman"'
In recent years, the building sector has experienced an increasing legislative pressure to reduce the energy consumption. This has created a global need for affordable building management systems (BMS) in areas such as lighting-, temperature-, air qu
Externí odkaz:
http://arxiv.org/abs/2409.00056
The retrofitting of existing buildings with building management systems presents significant challenges, primarily due to the need for labor and cost efficiency. Wireless technology offers a promising solution to these challenges by minimizing the ne
Externí odkaz:
http://arxiv.org/abs/2409.03770
Publikováno v:
In Alexandria Engineering Journal September 2024 103:266-277
Autor:
Alamoodi, A.H., Albahri, O.S., Deveci, Muhammet, Albahri, A.S., Yussof, Salman, Dinçer, Hasan, Yüksel, Serhat, Mohamad Sharaf, Iman
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part A
Autor:
Alamoodi, A.H., Al-Samarraay, Mohammed S, Albahri, O.S., Deveci, Muhammet, Albahri, A.S., Yussof, Salman
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part D
Autor:
Alamoodi, A.H., Garfan, Salem, Al-Zuhairi, Omar, Zaidan, B.B., Zaidan, A.A., Albahri, O.S., Y.Y. Ahmaro, Ibraheem, Albahri, A.S., Yussof, Salman, Magableh, Aws A.
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part A
Autor:
Bakar, Asmidar Abu1 (AUTHOR) asmidar@uniten.edu.my, Yussof, Salman1 (AUTHOR) salman@uniten.edu.my, Ghapar, Azimah Abdul1 (AUTHOR) azimah@uniten.edu.my, Sameon, Sera Syarmila1 (AUTHOR) sera@uniten.edu.my, Jørgensen, Bo Nørregaard2 (AUTHOR) bnj@mmmi.sdu.dk
Publikováno v:
Energies (19961073). Mar2024, Vol. 17 Issue 5, p977. 17p.
Autor:
Ahmad, Imtiaz, Bakar, Asmidar Abu, Ali, Ihteram, Haq, Sirajul, Yussof, Salman, Ali, Ali Hasan
Publikováno v:
In Alexandria Engineering Journal 1 November 2023 82:426-436
Akademický článek
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Autor:
Arigbabu, Olasimbo Ayodeji, Ahmad, Sharifah Mumtazah Syed, Adnan, Wan Azizun Wan, Yussof, Salman, Mahmood, Saif
Publikováno v:
Journal of Information and Communication Technology (JICT), 2015
Gender recognition from unconstrained face images is a challenging task due to the high degree of misalignment, pose, expression, and illumination variation. In previous works, the recognition of gender from unconstrained face images is approached by
Externí odkaz:
http://arxiv.org/abs/1702.02537