Reversible nanoporous sensors of carbon monoxide in atmosphere
نویسندگان
چکیده
منابع مشابه
Carbon Monoxide Prediction in the Atmosphere of Tehran Using Developed Support Vector Machine
Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...
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Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...
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ژورنال
عنوان ژورنال: Transactions on Networks and Communications
سال: 2015
ISSN: 2054-7420
DOI: 10.14738/tnc.32.899