Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Technic al University Valencia (TU Valencia) by NewsRx editors, research stated, "Turbid ity is one of the crucial parameters of water quality. Even though many commerci al devices, low-cost sensors, and remote sensing data can efficiently quantify t urbidity, they are not valid tools for the classification it." Funders for this research include European Union Nextgenerationeu; Generalitat V alenciana; Agencia Estatal De Investigacion. Our news correspondents obtained a quote from the research from Technical Univer sity Valencia (TU Valencia): "In this paper, we design, calibrate, and test a no vel optical low-cost sensor for turbidity quantification and classification. The sensor is based on an RGB light source and a light detector. The analyzed sampl es are characterized by turbidity values from 0.02 to 60 NTUs, and have four dif ferent sources. These samples were generated to represent natural turbidity sour ces and leaves in the marine areas close to agricultural lands. The data are gat hered using 64 different combinations of light, generating complex matrix data. Machine learning models are compared to analyze this data, including training, v alidation, and test datasets. Moreover, different alternatives for data preproce ssing and feature selection are assessed. Concerning the quantification of turbi dity, the best results were obtained using averaged data and principal component s analyses in conjunction with exponential gaussian process regression, achievin g an R2 of 0.979."
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