Data-Driven Models for Water Potability: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Data-Driven Models for Water Potability: A Machine Learning Approach

Published:2024-03-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
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Author:

Mishra Nisha¹,Sangeetha S. V. Tresa²,K Deepa¹,Venugopal Vivek³

Affiliation:

1. Amrita School of Engineering Bengaluru Campus, Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,India

2. University of Technology and Applied Sciences,Department of Engineering,AlMusannah,Oman

3. Amrita School of Engineering Bengaluru Campus, Amrita Vishwa Vidyapeetham,Department of Electronics and Communication Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527409/10527410/10527476.pdf?arnumber=10527476

Reference20 articles.

1. Water Potability Prediction Model Based on Machine Learning Techniques

2. Drinking Water Management System

3. A Case-Based Reasoning Solution for Urban Drinking Water Quality Control

4. Comparison of Water Quality Classification Models using Machine Learning

5. IoT based Water Parameter Monitoring System

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