Logo

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.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


Item Type:Article
Impact Factor:cited By 1
ID Code:25255
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:27 Aug 2021 09:06
Last Modified:27 Aug 2021 09:06

Repository Staff Only: item control page