(searched for: doi:10.17352/ams.000020)
Published: 8 October 2022
Conference: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), 2022-10-8 - 2022-10-9
Waterborne infections, contaminated seafood, and chemical toxins, which are surfaced as an outcome of marine water pollution, are consciously challenging human health and economic status of the region bounded as well. Hence, monitoring the seawater quality is considered as a significant and prioritized task. This paper assessed whether the sample data taken for the study complies with the marine water quality standard, which is to ascertain that the aquatic organisms would survive with the vital nutrients of marine water. Further, this paper has proposed the prediction models for the marine water quality indicators using the univariate and multivariate regression analysis. An open public dataset was used to create the regression model with goodness-of-fit and Pacific Ocean data was utilized to validate the model.