A neural network-based model for estimating the delivery time of oxygen gas cylinders during COVID-19 pandemic

Author:

Ghaithan Ahmed M.ORCID,Alarfaj Ibrahim,Mohammed Awsan,Qasim Osaid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference58 articles.

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2. Highley D (2009) Medical gases, their storage and delivery. Anaesth Intensive Care Med 10:523–527. https://doi.org/10.1016/J.MPAIC.2009.08.013

3. Valves, C., Gases, S.I., Documents, R., 2012. Storage and handling of gas cylinders. - Google Search. https://www.google.com/search?q=Valves%2C+C.%2C+Gases%2C+S.I.%2C+Documents%2C+R.%2C+2012.+Storage+and+Handling+of+Gas+Cylinders.&oq=Valves%2C+C.%2C+Gases%2C+S.I.%2C+Documents%2C+R.%2C+2012.+Storage+and+Handling+of+Gas+Cylinders.&aqs=chrome..69i57.238j0j9&sourceid=chrome&ie=UTF-8. Accessed 14 Oct 2021

4. World Health Organization (2020) Oxygen sources and distribution for COVID-19 treatment centres: interim guidance (No. WHO/2019-nCoV/Oxygen_sources/2020.1)

5. Artificial Neural Network for Drug Design, delivery and disposition–Munish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno - Google Books. https://books.google.com.sa/books?hl=en&lr=&id=_8_UBQAAQBAJ&oi=fnd&pg=PP1&dq=Artificial+Neural+Network+for+Drug+Design,+Delivery+and+Disposition.+In+Artificial+Neural+Network+for+Drug+Design&ots=CsV8zKzdmJ&sig=TvsrDqj7cJ6bYW3f0jcwAgnPaDY&redir_esc=y#v=onepage&q=Artificial Neural Network for Drug Design%2C Delivery and Disposition. In Artificial Neural Network for Drug Design&f=false. Accessed 14 Oct 2021

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