摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据《中国人民日报》记者从合肥发回的新闻报道,研究表明:“随着微塑料(MPs)大量进入环境,与微塑料有关的研究正在迅速发展。有效的研究方法必须识别微塑料的化学组成、形态、分布和环境影响。”本文综述了近年来人工智能(AI)驱动的机器学习方法在分析石油和水中的MPs方面表现出了优异的性能,并对各种任务的MPs预测方法进行了较为全面的综述,详细讨论了MPs的数据来源、数据预处理、算法原理和应用前景。此外，本文还讨论了当前机器学习方法在MPs中各种任务分析中的局限性，并展望了未来的发展前景。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Hefei, People's R epublic of China, by NewsRx journalists, research stated, "With the massive rele ase of microplastics (MPs) into the environment, research related to MPs is adva ncing rapidly. Effective research methods are necessary to identify the chemical composition, shape, distribution, and environmental impacts of MPs." The news correspondents obtained a quote from the research from the Hefei Univer sity of Technology, "In recent years, artificial intelligence (AI)-driven machin e learning methods have demonstrated excellent performance in analyzing MPs in s oil and water. This review provides a comprehensive overview of machine learning methods for the prediction of MPs for various tasks, and discusses in detail th e data source, data preprocessing, algorithm principle, and algorithm limitation of applied machine learning. In addition, this review discusses the limitation of current machine learning methods for various task analysis in MPs along with future prospect."
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