Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE

E Stepanova, V Orlov, V Kukartsev… - BIO Web of …, 2024 - bio-conferences.org
Ensuring access to safe drinking water is a fundamental public health priority. Traditional
methods for assessing water quality are laborintensive and require specialized equipment …

Identification of Water Potability Using Machine Learning Techniques Check for updates

PS Bishnu - Water Informatics: Challenges and Solutions Using … - books.google.com
The health of the flora and fauna of the earth depends significantly on the environmental
water quality. It impacts humans and other species that rely on these ecosystems for nutrient …

Water Potability Prediction Using Machine Learning

S Patel, K Shah, S Vaghela, M Aglodiya, R Bhattad - 2023 - researchsquare.com
Water is a crucial and indispensable resource for sustaining human life, and maintaining its
quality is of utmost importance for the well-being of individuals. When drinking water …

Performance Analysis of the Decision Tree Classification Algorithm on the Water Quality and Potability Dataset

U Zaky, A Naswin, S Sumiyatun… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
Ensuring water potability is paramount for public health and safety. This research aimed to
assess the efficacy of the Decision Tree classification algorithm in predicting water potability …

Identification of Water Potability Using Machine Learning Techniques

PS Bishnu - Water Informatics: Challenges and Solutions Using …, 2024 - Springer
The health of the flora and fauna of the earth depends significantly on the environmental
water quality. It impacts humans and other species that rely on these ecosystems for nutrient …

A Comprehensive Comparative Study of Machine Learning Algorithms for Water Potability Classification

F Ahmad Musleh - … Journal of Computing and Digital Systems, 2024 - journal.uob.edu.bh
Water quality (WQ) prediction is of utmost importance due to the scarcity of uncontaminated
water resources. In this study, six machine learning (ML) algorithms, including Bagging …

Efficient data-driven machine learning models for water quality prediction

E Dritsas, M Trigka - Computation, 2023 - mdpi.com
Water is a valuable, necessary and unfortunately rare commodity in both developing and
developed countries all over the world. It is undoubtedly the most important natural resource …

[PDF][PDF] Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Computation 2023, 11, 16

E Dritsas, M Trigka - 2023 - researchgate.net
Water is a valuable, necessary and unfortunately rare commodity in both developing and
developed countries all over the world. It is undoubtedly the most important natural resource …

A Comparative Study of Machine Learning Techniques for Water Potability Classification

RG de Luna, VC Magnaye, RAL Reaño… - TENCON 2023-2023 …, 2023 - ieeexplore.ieee.org
Water is an essential natural resource for life on Earth, and it is the foundation of all living
things. However, water pollution is a growing environmental concern caused by human …

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

N Mishra, SVT Sangeetha, K Deepa… - … Techniques in Control …, 2024 - ieeexplore.ieee.org
Water is an essential component in our daily lives. Water is used for different purposes, such
as drinking, industrial, and irrigation. Many problems can be seen nowadays because of …