Performance of Artificial Intelligence Models in Analysis and Prediction of Water Potability

Author:

El-Attar Noha E.1,Lotfy Hesham R.2,Awad Wael A.3

Affiliation:

1. Benha University,Faculty of Computers and Artificial Intelligence,Department of Information Systems,Benha,Egypt

2. Delta University, Coastal High Way, Gamasa,Faculty of Engineering,Basic Sciences Department,Al-Dakahlia,Egypt

3. Damietta University,Faculty of Computers and Artificial Intelligence,Department of Computer Science,Damietta,Egypt

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Water Quality Prediction and Monitoring Using Machine Learning Algorithms;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22

2. Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing;Applied Sciences;2023-11-20

3. Performance Analysis of Machine Learning Algorithms to Predict Water Potability;2023 International Conference on Computational Intelligence for Information, Security and Communication Applications (CIISCA);2023-06-22

4. A Survey of Machine Learning Models for Water Quality Prediction;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

5. Deep learning approach for prediction and classification of potable water;Analytical Sciences;2023-04-08

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