Water Quality Prediction using AI and ML Algorithms
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.46Keywords:
Water pollution, Quality parameters, Water Quality Index, AI & ML AlgorithmsDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Expeditious growth in industrial amelioration to support the country’s expanding population and economy has contaminated our water resources like never before. Water pollution is one of the most alarming concerns for us today. Prediction of water quality has grown in popularity in the field of water environmental science. Data-driven strategies are becoming increasingly fascinating and beneficial as we extend our understanding of water means. Data mining, which can manage the complexity within the provided data, is a direct method for exploration.Abstract
How to Cite
Downloads
Similar Articles
- Varsha Kachhela, Jalpa Rank, Charmy Kothari, Investigating optimal conditions for direct red 37 biodegradation using Enterococcus innesii strain CV10 , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Rashmi Chandra, Afroz Alam, Phytochemical Analysis Using X-ray Diffraction Spectroscopy (XRD) and GC-MS Analysis of Bioactive Compounds in Cucumis sativus L. (Angiosperms; Cucurbitaceae) , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Aditi Sahariya, Chellapilla Bharadwaj, Iwuala Emmanuel, Afroz Alam, Phytochemical Profiling and GCMS Analysis of Two Different Varieties of Barley (Hordeum vulgare L.) Under Fluoride Stress , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Amresh Kumar Singh, Manjit Singh Chhetri, Pushyamitra Mishra, Toughness and Ductile Brittle Transition Temperature of Different Mineral Filler Reinforced TPOs Composites , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Birhanu T Sisay, Jadu K. Agerchu, Gizachew W. Nuraga, Effects of bended NPSB fertilizer rates and varieties on growth and yield of garlic (Allium sativum L.) in Gummer district, Central Ethiopia , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- K. R. R. Prakash, Kishore Kunal, Designing information systems for business administration through human and computer interaction , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- A. Sathya, M. S. Mythili, MOHCOA: Multi-objective hermit crab optimization algorithm for feature selection in sentiment analysis of Covid-19 Twitter datasets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Partha Majumdar, Empowering skill development through generative AI bridging gaps for a sustainable future , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 22 23 24 25 26 27 28 29 30 31 > >>
You may also start an advanced similarity search for this article.

