Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sara Imran Khan"'
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 748-753 (2023)
Drones have gained increasing attention in the healthcare industry for mobility and accessibility to remote areas. This perspective-based study proposes a drone-based sample collection system whereby COVID-19 self-testing kits are delivered to and co
Externí odkaz:
https://doaj.org/article/b78a91b72fe74a10ba2e66064b159d80
Autor:
Zakria Qadir, Sara Imran Khan, Erfan Khalaji, Hafiz Suliman Munawar, Fadi Al-Turjman, M.A. Parvez Mahmud, Abbas Z. Kouzani, Khoa Le
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 8465-8475 (2021)
In the current technological era, predicting the power and energy output based on the changing weather factors play an important role in the economic growth of the renewable energy sector. Unlike traditional fossil fuel-based resources, renewable ene
Externí odkaz:
https://doaj.org/article/d8721812563f4c18b53d563c2d556fd4
Publikováno v:
Fire, Vol 5, Iss 4, p 122 (2022)
The study aims to develop a holistic framework for maximum area coverage of a disaster region during a bushfire event. The monitoring and detection of bushfires are essential to assess the extent of damage, its direction of spread, and action to be t
Externí odkaz:
https://doaj.org/article/b46e5144549d45a38b9123b90ffd6b01
Autor:
Muhammad Salman, Hafiz Suliman Munawar, Khalid Latif, Muhammad Waseem Akram, Sara Imran Khan, Fahim Ullah
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 1, p 30 (2022)
The detection and classification of drug–drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for
Externí odkaz:
https://doaj.org/article/633cfa3432644c64aeab274952184d35
Autor:
Hafiz Suliman Munawar, Riya Aggarwal, Zakria Qadir, Sara Imran Khan, Abbas Z. Kouzani, M. A. Parvez Mahmud
Publikováno v:
Buildings, Vol 11, Iss 7, p 302 (2021)
Detecting buildings from high-resolution satellite imagery is beneficial in mapping, environmental preparation, disaster management, military planning, urban planning and research purposes. Differentiating buildings from the images is possible howeve
Externí odkaz:
https://doaj.org/article/c0da76dad92e4a0c9917e0c452a05902
Publikováno v:
Fire, Vol 4, Iss 3, p 40 (2021)
Australia is a regular recipient of devastating bushfires that severely impacts its economy, landscape, forests, and wild animals. These bushfires must be managed to save a fortune, wildlife, and vegetation and reduce fatalities and harmful environme
Externí odkaz:
https://doaj.org/article/6a15db50d4254f7989c4cdee93eef6d7
Autor:
Hafiz Suliman Munawar, Sara Imran Khan, Numera Anum, Zakria Qadir, Abbas Z. Kouzani, M. A. Parvez Mahmud
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 4823 (2021)
The study was conducted to assess the post 2010 flood risk management and resilience-building practices in District Layyah, Pakistan. Exploratory research was applied to gain knowledge of flood risk management to embed the disaster risk reduction, mi
Externí odkaz:
https://doaj.org/article/74050d0c8a164407aacc926be6c71f0b
Publikováno v:
ICT Express.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d27014e99fd1e9c3981d38cf3ebe7c
https://doi.org/10.1016/j.icte.2022.09.008
https://doi.org/10.1016/j.icte.2022.09.008
Autor:
Munawar, Hafiz Suliman1 (AUTHOR) hafizsuliman.munawar@usq.edu.au, Gharineiat, Zahra1 (AUTHOR), Akram, Junaid2 (AUTHOR), Imran Khan, Sara3 (AUTHOR)
Publikováno v:
Fire (2571-6255). Aug2022, Vol. 5 Issue 4, p122-N.PAG. 15p.
Autor:
Salman, Muhammad, Munawar, Hafiz Suliman, Latif, Khalid, Akram, Muhammad Waseem, Khan, Sara Imran, Ullah, Fahim
Publikováno v:
Big Data & Cognitive Computing; Mar2022, Vol. 6 Issue 1, p30, 17p