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Analysing Gas Data using Deep Learning and 2D Gramian Angular Fields
  • Muhammad Jaleel
Muhammad Jaleel
De Montfort University Leicester

Corresponding Author:[email protected]

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Abstract

The used dataset is available publically at the UCI repository for the experiments. In this work Dynamic mixture of gases, the dataset is used for the classification, where this time series dataset is converted to 2D GAF representation and then classify by using the ALexNet classifier. Further, the 1D time series dataset is classified by using deep learning architecture named GasNEt0CNN.
15 Mar 2023Published in IEEE Sensors Journal volume 23 issue 6 on pages 6109-6116. 10.1109/JSEN.2023.3243149