摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据Ne wsRx编辑从加拿大多伦多发回的新闻报道，研究表明：“工业废水中出现的多环芳烃化合物(PACs)等有机污染物不仅会在废水中持续存在，而且在处理过程中还会转化为毒性更强、流动性更强的三环化合物。预测焦化废水中PACs及其杂环衍生物(HPACs)的存在对降低接收水体的环境风险至关重要。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Toronto, Canada, by Ne wsRx editors, research stated, “Organic contaminants such as polycyclic aromatic compounds (PACs) occurring in industrial effluents can not only persist in wast ewater but also undergo transformation into more toxic and mobile substituted he terocyclic products during their treatment. Thus, predicting the occurrence of PACs and their heterocyclic derivatives (HPACs) in coking wastewater is of utmost importance to reduce the environmental risks of receiving water bodies.”
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