Robotics & Machine Learning Daily News2024,Issue(Jun.27) :63-64.

Reports Summarize Chemical Engineering Study Results from School of Technology ( Exploring Machine Learning Applications In Chemical Production Through Valorizat ion of Biomass, Plastics, and Petroleum Resources: a Comprehensive Review)

报告总结了技术学院的化学工程研究成果(通过生物质、塑料和石油资源的价值探索机器学习在化学生产中的应用:综合综述)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :63-64.

Reports Summarize Chemical Engineering Study Results from School of Technology ( Exploring Machine Learning Applications In Chemical Production Through Valorizat ion of Biomass, Plastics, and Petroleum Resources: a Comprehensive Review)

报告总结了技术学院的化学工程研究成果(通过生物质、塑料和石油资源的价值探索机器学习在化学生产中的应用:综合综述)

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摘要

由一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-工程学的研究结果在一份新的报告中讨论。根据印度古吉拉特邦的新闻来源,NewsRx记者报道,研究表明:“机器学习(ML)是人工智能的一个分支,它利用计算机从给定的可访问数据中学习的能力。机器学习在几乎每一个行业都变得突出,包括化学工程领域,在那里有大量的研究和调查。”我们的新闻记者从技术学院的研究中获得了一句话:“本文详细地综述了ML在生物质、聚合物和石油产品的制备和表征研究中的应用,并对ML的分类、回归和聚类进行了研究,以加深对ML的理解。”ML在生物质能预测、基于NMR波谱的原油稳定性、汽油辛烷值计算、燃料油运动粘度估算、废塑料分类、油藏钻井效率估算等方面都有很大的帮助。ML在生物质、聚合物和磷资源的微波辅助热解中也发挥了重要作用。ML在很大程度上影响了化学工程,特别是用于提高系统效率和监测难以人工理解的过程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Engineering - Che mical Engineering are discussed in a new report. According to news originating f rom Gujarat, India, by NewsRx correspondents, research stated, “Machine learning (ML) is a subtype of artificial intelligence that uses a computer’s ability to learn from a given set of accessible data. ML is becoming prominent in almost ev ery business, including the domain of chemical engineering, where there have bee n numerous researches and investigations.” Our news journalists obtained a quote from the research from the School of Techn ology, “This article provides a detailed overview of the use of ML in the produc tion and characterization study of biomass, polymers, and petroleum products. Ca tegories of ML, including classification, regression, and clustering, are also i nvestigated to get a deeper understanding of ML. From this review, it can be con cluded that ML has aided in numerous domains, such as the prediction of biomass energy, the stability of crude oil based on NMR spectroscopy, the calculation of gasoline’s octane number, the estimation of fuel oil’s kinematic viscosity, the classification of waste plastics, and the estimation of drilling efficiency in petroleum reservoirs, among others. Apart from this, ML has also been playing a significant role in the microwaveassisted pyrolysis of biomass, polymers, and p etroleum resources. ML substantially influences chemical engineering and is espe cially useful for enhancing system efficiency and monitoring processes that are difficult to understand manually.”

Key words

Gujarat/India/Asia/Chemical Engineeri ng/Chemicals/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Sc hool of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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