首页|Findings from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Machine Learning-driven Prediction and Optimization of Pyrolysis Oil and Limonene Production From Waste Tires)

Findings from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Machine Learning-driven Prediction and Optimization of Pyrolysis Oil and Limonene Production From Waste Tires)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Thepyrolysis oil from waste tires possesses significant economic value and is a crucial factor in determiningthe industrial viability of tire pyrolysis processes. Limonene in pyrolysis oil is a significant component withextremely high industrial application value.”

GuangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.29)