首页|Findings from Manipal Academy of Higher Education Broaden Understanding of Machi ne Learning (Machine Learning Assisted Raman Spectroscopy: a Viable Approach for the Detection of Microplastics)
Findings from Manipal Academy of Higher Education Broaden Understanding of Machi ne Learning (Machine Learning Assisted Raman Spectroscopy: a Viable Approach for the Detection of Microplastics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Karnataka, India, by NewsRx edito rs, research stated, “The accumulation of microplastics (MPs) resulting from dis posal of plastic waste into water sources, poses a significant threat to aquatic organisms. These are readily ingested by organisms, leading to the accumulation of harmful substances, disrupting their biological processes.” Our news journalists obtained a quote from the research from the Manipal Academy of Higher Education, “Current methods for identifying microplastics have notabl e drawbacks, including low resolution, extended imaging time, and restricted par ticle size analysis. Integrating Raman spectroscopy with machine learning (ML) p roves to be an effective approach for identifying and classifying MPs, especiall y in scenarios where they are found in environmental media or mixed with various types. Machine learning (ML) can be vital tool in assisting Raman analysis, owi ng to its robust feature extraction capabilities. This comprehensive review outl ined the utilization of various machine learning techniques in conjunction with Raman spectral features for diverse investigations related to microplastics.”
KarnatakaIndiaAsiaCyborgsEmergin g TechnologiesMachine LearningManipal Academy of Higher Education
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