首页|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)
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)
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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.”
GujaratIndiaAsiaChemical Engineeri ngChemicalsCyborgsEmerging TechnologiesEngineeringMachine LearningSc hool of Technology
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