Computational Data Analysis on Global Energy and COVID-19 Pandemic

Momina Shaheen, London University of Roehampton, Muhammad Junaid Anjum, Faizan Ahmad, Aimen Anum

Research output: Contribution to journal › Article › peer-review

Original language	Undefined
Journal	International Journal of Information Engineering and Electronic Business
DOIs	https://doi.org/10.5815/ijieeb.2023.06.01
Publication status	Published - 8 Dec 2023

Access to Document

@article{89310f40a805453485b39f46e97aee09,

title = "Computational Data Analysis on Global Energy and COVID-19 Pandemic",

author = "Momina Shaheen and {University of Roehampton}, London and Anjum, {Muhammad Junaid} and Faizan Ahmad and Aimen Anum",

year = "2023",

month = dec,

day = "8",

doi = "10.5815/ijieeb.2023.06.01",

language = "Undefined",

journal = "International Journal of Information Engineering and Electronic Business",

issn = "2074-9023",

}

TY - JOUR

T1 - Computational Data Analysis on Global Energy and COVID-19 Pandemic

AU - Shaheen, Momina

AU - University of Roehampton, London

AU - Anjum, Muhammad Junaid

AU - Ahmad, Faizan

AU - Anum, Aimen

PY - 2023/12/8

Y1 - 2023/12/8

UR - http://dx.doi.org/10.5815/ijieeb.2023.06.01

U2 - 10.5815/ijieeb.2023.06.01

DO - 10.5815/ijieeb.2023.06.01

M3 - Article

SN - 2074-9023

JO - International Journal of Information Engineering and Electronic Business

JF - International Journal of Information Engineering and Electronic Business

ER -