首页|Investigators from Xi’an Shiyou University Release New Data on Machine Learning (Machine Learning-driven Gas Concentration Forecasting: a Case Study With Ws2 Na noflower Gas Sensor)
Investigators from Xi’an Shiyou University Release New Data on Machine Learning (Machine Learning-driven Gas Concentration Forecasting: a Case Study With Ws2 Na noflower Gas Sensor)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromShaanxi, People’s Republic of China , by NewsRx journalists, research stated, “One approach to effectivelyforecast gas concentrations is to integrate machine learning techniques with gassensitive signals. In thiswork, the synthesis of two-dimensional nanoflower-like WS 2 wa s achieved through control of reactionconditions, such as hydrothermal time and temperature, accompanied by an analysis of the formationmechanism underlying t he nanoflower-like morphology.”
ShaanxiPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningXi’an Shiyou University
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