Robotics & Machine Learning Daily News2024,Issue(Oct.10) :108-108.

Sapienza University of Rome Reports Findings in Science (Efficient microplastic identification by hyperspectral imaging: A comparative study of spatial resoluti ons, spectral ranges and classification models to define an optimal analytical . ..)

Robotics & Machine Learning Daily News2024,Issue(Oct.10) :108-108.

Sapienza University of Rome Reports Findings in Science (Efficient microplastic identification by hyperspectral imaging: A comparative study of spatial resoluti ons, spectral ranges and classification models to define an optimal analytical . ..)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Science is the subject of a report. According to news reporting out of Rome, Italy, by NewsRx editors, research stated, “Microplastics (MPs) pollution is a global and challenging iss ue, necessitating the development of efficient analytical strategies for their d etection to monitor their environmental impact. This study aims to define an opt imal analytical protocol for characterizing MPs by hyperspectral imaging (HSI), comparing different setups based on spatial resolution, spectral range and class ification models.”

Key words

Rome/Italy/Europe/Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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