首页|Recent Studies from Shandong University of Science and Technol- ogy Add New Data to Machine Learning (Efficient Identification of Crude Oil via Combined Terahertz Time-Domain Spectroscopy and Machine Learning)
Recent Studies from Shandong University of Science and Technol- ogy Add New Data to Machine Learning (Efficient Identification of Crude Oil via Combined Terahertz Time-Domain Spectroscopy and Machine Learning)
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Research findings on artificial intelligence are discussed in a new report. According to news originating from Qingdao, People's Republic of China, by NewsRx editors, the research stated, "The quality of crude oil varies significantly according to its geographical origin." Funders for this research include National Key R&D Program of China; National Natural Science Foundation of China; China Postdoctoral Science Foundation. The news reporters obtained a quote from the research from Shandong University of Science and Technology: "The efficient identification of the source region of crude oil is pivotal for petroleum trade and processing. However, current methods, such as mass spectrometry and fluorescence spectroscopy, suffer problems such as complex sample preparation and a long characterization time, which restrict their efficiency. In this work, by combining terahertz time-domain spectroscopy (THz-TDS) and a machine learning analysis of the spectra, an efficient workflow for the accurate and fast identification of crude oil was established."
Shandong University of Science and TechnologyQingdaoPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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