Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Muteb Alsaqhan"'
Autor:
Islam Elgarhy, Mahmoud M. Badr, Mohamed Mahmoud, Maazen Alsabaan, Tariq Alshawi, Muteb Alsaqhan
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9897 (2024)
In the realm of smart grids, machine learning (ML) detectors—both binary (or supervised) and anomaly (or unsupervised)—have proven effective in detecting electricity theft (ET). However, binary detectors are designed for specific attacks, making
Externí odkaz:
https://doaj.org/article/894b0b36083241269f19dd793d291e1a
Autor:
Atef Bondok, Omar Abdelsalam, Mahmoud Badr, Mohamed Mahmoud, Maazen Alsabaan, Muteb Alsaqhan, Mohamed I. Ibrahem
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9308 (2024)
The advanced metering infrastructure (AMI) of the smart grid plays a critical role in energy management and billing by enabling the periodic transmission of consumers’ power consumption readings. To optimize data collection efficiency, AMI employs
Externí odkaz:
https://doaj.org/article/b987c933bcc749f9a1cf7db5f9b4b47d
Autor:
Mohammad Alsharif, Mohanna Al Enazi, Yasser Mohammad Seddiq, Omar Alharthi, Mohammed Alsuliman, Muteb Alsaqhan
Publikováno v:
UKSim
This paper Presents the design of a low-cost GPS logger that logs GPS coordinates of a group of cyclists throughout certain trip. The main goal is to eliminate the communication cost by replacing cellular connection by Wi-Fi. Therefore, the system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a629065d24a501740824cafbd31c5e4e
https://doi.org/10.1109/uksim.2017.36
https://doi.org/10.1109/uksim.2017.36
Publikováno v:
UKSim
This paper presents the work of developing a low- complexity, power-efficient, scalable node for linear wireless sensor networks. The developed system is intended primarily water pipeline leakage detection applications. This work mainly tackles the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b24d7b4e1629b740619bf68f29cb55
https://doi.org/10.1109/uksim.2017.40
https://doi.org/10.1109/uksim.2017.40