A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

Chiroma, H. and Abdullahi, U.A. and Hashem, I.A.T. and Saadi, Y. and Al-Dabbagh, R.D. and Ahmad, M.M. and Dada, G.E. and Danjuma, S. and Maitama, J.Z. and Abubakar, A. and Abdulhamid, S.�M. (2019) A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption. Green Energy and Technology. pp. 1-20.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Item Type: Article
Impact Factor: cited By 1
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 27 Aug 2021 09:06
Last Modified: 27 Aug 2021 09:06
URI: http://scholars.utp.edu.my/id/eprint/25255

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