Zobrazeno 1 - 10 of 42 pro vyhledávání: '"Ahmed Al-Maashri"'
1
Akademický článek
A Fast and Accurate Wind Speed and Direction Nowcasting Model for Renewable Energy Management Systems
Autor: Saira Al-Zadjali, Ahmed Al Maashri, Amer Al-Hinai, Rashid Al Abri, Swaroop Gajare, Sultan Al Yahyai, Mostafa Bakhtvar
Publikováno v: Energies, Vol 14, Iss 23, p 7878 (2021)
To plan operations and avoid any grid disturbances, power utilities require accurate power generation estimates for renewable generation. The generation estimates for wind power stations require an accurate prediction of wind speed and direction. Thi
Externí odkaz: https://doaj.org/article/16ba20779ae64accb3061e70df65d245
Zobrazit plný text záznamu
7
Akademický článek
An Accurate, Light-Weight Wind Speed Predictor for Renewable Energy Management Systems
Autor: Saira Al-Zadjali, Ahmed Al Maashri, Amer Al-Hinai, Sultan Al-Yahyai, Mostafa Bakhtvar
Publikováno v: Energies, Vol 12, Iss 22, p 4355 (2019)
This paper proposes an approach for accurate wind speed forecasting. While previous works have proposed approaches that have either underperformed in accuracy or were too computationally intensive, the work described in this paper was implemented usi
Externí odkaz: https://doaj.org/article/badb829f0d7b45cea8c66da53d512000
Zobrazit plný text záznamu
8
DHCP attacking tools: an analysis
Autor: Manar Aldaoud, Ahmed Al Maashri, Dawood Al-Abri, Firdous Kausar
Publikováno v: Journal of Computer Virology and Hacking Techniques. 17:119-129
Nowadays, many new devices with network capabilities are constantly being connected to existing networks. Consequently, the need for an automatic and dynamic approach to supply critical network settings to these new nodes is indispensable in large ne
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a195e8e9dc131f0be068dbd0c69dda63
https://doi.org/10.1007/s11416-020-00374-8
Zobrazit plný text záznamu
9
A novel drone-based system for accurate human temperature measurement and disease symptoms detection using thermography and AI
Autor: Ahmed Al Maashri, Ashraf Saleem, Hadj Bourdoucen, Omer Eldirdiry, Ahmed Al Ghadani
Publikováno v: Remote sensing applications : society and environment. 27
The world continues to witness several waves of COVID-19 spread due to the emergence of new variants of the SARS-CoV-2 virus. Stopping the spread requires synergistic efforts that include the use of technologies such as unmanned aerial vehicles and m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d101cb90e695754697a257e0b5540b4a
https://pubmed.ncbi.nlm.nih.gov/35702485
Zobrazit plný text záznamu
10
A Fast and Accurate Wind Speed and Direction Nowcasting Model for Renewable Energy Management Systems
Autor: Rashid Al Abri, Ahmed Al Maashri, Amer Al-Hinai, Swaroop Gajare, Mostafa Bakhtvar, Saira Al-Zadjali, Sultan Al Yahyai
Publikováno v: Energies; Volume 14; Issue 23; Pages: 7878
Energies, Vol 14, Iss 7878, p 7878 (2021)
To plan operations and avoid any grid disturbances, power utilities require accurate power generation estimates for renewable generation. The generation estimates for wind power stations require an accurate prediction of wind speed and direction. Thi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b83dba6af2a8d0dd0cd8cb48db4d44b
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje