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
- Roopshree Banchode, Sai Pranathi Bhallamudi, S. P. Kanchana, Evaluation of the Quality of Commonly Used Edible Oils and The Effects of Frying , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Juhi Chaudhary, Dimple Raina, Pallavi Rawat, Vidya Chauhan, Neha Chauhan, GC-MS Profiling and Analysis of Bioprotective Properties of Terminalia chebula against Non-Fermenting Gram-Negative Bacteria Isolated from Tertiary Care Hospital , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Pankaj Bahuguna, Sapna ., Rajesh Rayal, Neelam Shah, N.C. Khanduri, Sexual Maturity of an Ornamental Himalayan Foot-hill Region Fish Barilius barna as Determined by Dobriyal Index and Gonado-somatic Index , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Prince Williams, Nilesh M. Patil, Allanki S. Rao, Chandra M. V. S. Akana, K. Soujanya, Aakansha M. Steele, Transformative effects of connectivity technologies on urban infrastructure and services in smart cities , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Vikas Jangra, Ambrish Pandey, Rajendra K. Anayath, Print consistency evaluation on uncoated paper using various digital print engines , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Amala Deepa V., T. Lucia Agnes Beena, Enhancing data imputation in complex datasets using Lagrange polynomial interpolation and hot-deck fusion , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Archana Bansal, Management of Crop-Residue to Control Environmental Hazards , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Indrajeet Mishra, Estimation of the covalent binding parameters and the ground state wave functions in complexes doped with vanadyl ion , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- S. Dhivya, S. Prakash, Power quality assessment in solar-connected smart grids via hybrid attention-residual network for power quality (HARN-PQ) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.

