Predictive Modeling of Environmental Sustainability: Analyzing Water Quality and Waste Management Systems in the USA Using Machine Learning
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2025 by IJRES Journal | ||
| Volume-12 Issue-1 |
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| Year of Publication : 2025 | ||
| Authors : Tymoteusz Miller |
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| DOI : 10.14445/23497157/IJRES-V12I1P109 |
How to Cite?
Tymoteusz Miller, "Predictive Modeling of Environmental Sustainability: Analyzing Water Quality and Waste Management Systems in the USA Using Machine Learning," International Journal of Recent Engineering Science, vol. 12, no. 1, pp. 69-72, 2025. Crossref, https://doi.org/10.14445/23497157/IJRES-V12I1P109
Abstract
The issue of environmental sustainability is a challenge to the US government and the entire world. Among all the critical areas that require immediate attention, two areas are water quality and waste management. Recent developments in machine learning offer new ways to analyze and predict environmental outcomes for data-driven policy-making and optimization of resources. This research paper presents predictive modeling for environmental sustainability, focusing on water quality and waste management systems in the United States. This research paper explores advanced techniques of Machine Learning, identification of indicators, development of predictive frameworks, and actionable insights to enhance environmental health and improve waste management efficiency.
Keywords
Water quality, Waste management, Environmental sustainability, Predictive modeling, Machine learning, Data analytics.
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