Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment-Reference-Cited by-同舟云学术

Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment

Published:2024-04 Issue: Volume:450 Page:141877
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Ejaz Ujala,Khan Shujaul Mulk^ORCID,Jehangir Sadia,Ahmad Zeeshan,Abdullah Abdullah,Iqbal Majid^ORCID,Khalid Noreen^ORCID,Nazir Aisha,Svenning Jens-Christian^ORCID

Funder

Villum Fonden

Pakistan Academy of Sciences

Higher Education Commission, Pakistan

Danmarks Grundforskningsfond

Publisher

Elsevier BV

Reference92 articles.

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2. Analysis of water quality indices and machine learning techniques for rating water pollution: a case study of Rawal Dam, Pakistan;Ahmed;Water Supply,2021

3. Efficient water quality prediction using supervised machine learning;Ahmed;Water,2019

4. Optimal features subset selection for large for gestational age classification using gridsearch based recursive feature elimination with cross-validation scheme;Akhtar;Paper presented at the Frontier Computing: Theory, Technologies and Applications,2020

5. Environmental and economic assessment of rainwater harvesting systems under five climatic conditions of Pakistan;Ali;J. Clean. Prod.,2020

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