Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach-Reference-Cited by-同舟云学术

Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach

Author:

Aslam Bilal¹^ORCID,Maqsoom Ahsen²^ORCID,Cheema Ali Hassan²^ORCID,Ullah Fahim³^ORCID,Alharbi Abdullah⁴^ORCID,Imran Muhammad⁵^ORCID

Affiliation:

1. School of Informatics, Computing, Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA

2. Department of Civil Engineering, COMSATS University Islamabad, Wah Cantt, Islamabad, Pakistan

3. School of Surveying and Built Environment, University of Southern Queensland, Springfield Central, QLD, Australia

4. Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia

5. Institute of Innovation, Science and Sustainability, Federation University, Brisbane, QLD, Australia

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference86 articles.

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