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Iurgenson, Nika, et al. "Feasibility study of multisensor systems for the assessment of water pollution index induced by heavy metal contamination." Microchemical Journal 197 (2024): 109762.

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NicoleCu/DataFusion-Project-23-24

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DataFusion-Project-23-24

These code files is connected to the project described in this article:

Iurgenson, Nika, et al. "Feasibility study of multisensor systems for the assessment of water pollution index induced by heavy metal contamination." Microchemical Journal 197 (2024): 109762. The link: https://doi.org/10.1016/j.microc.2023.109762

In the project, the machine learning tools were utilized to predict Pb, Cd and WPI in samples modelling the composition of natural water. The data fusion levels were employed (low-, mid- and high-level) to test whtether the better prediction can be obtained using not individual analytical device (sesor) but multiple.

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Iurgenson, Nika, et al. "Feasibility study of multisensor systems for the assessment of water pollution index induced by heavy metal contamination." Microchemical Journal 197 (2024): 109762.

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