首页|Research from University of Southampton Yields New Study Findings on Machine Learning (Calibration of a Low-Cost Methane Sensor Using Machine Learning)
Research from University of Southampton Yields New Study Findings on Machine Learning (Calibration of a Low-Cost Methane Sensor Using Machine Learning)
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Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Southampton, United Kingdom, by NewsRx editors, research stated, "In order to combat greenhouse gas emissions, the sources of these emissions must be understood." Funders for this research include Uk Research And Innovation. The news journalists obtained a quote from the research from University of Southampton: "Environmental monitoring using low-cost wireless devices is one method of measuring emissions in crucial but remote settings, such as peatlands. The Figaro NGM2611-E13 is a low-cost methane detection module based around the TGS2611-E00 sensor. The manufacturer provides sensitivity characteristics for methane concentrations above 300 ppm, but lower concentrations are typical in outdoor settings. This study investigates the potential to calibrate these sensors for lower methane concentrations using machine learning. Models of varying complexity, accounting for temperature and humidity variations, were trained on over 50,000 calibration datapoints, spanning 0-200 ppm methane, 5-30 ℃ and 40-80% relative humidity."
University of SouthamptonSouthamptonUnited KingdomEuropeAlkanesCyborgsEmerging TechnologiesMachine LearningMethane
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