artificial intelligence; deep learning; real-time system
This data set is related to gas sensing, time-series classification. It has three columns: Time, I1, and Target. The Target column refers to the type of gas measured with the following classification:
•1 for Ammonia (NH₃)
•2 for Acetone (C₃H₆O) & Formaldehyde (CH₂O)
The data has been processed in a number of stages for accuracy and consistency. Raw data was first gathered using a Metal Oxide Semiconductor (MOS) sensor. After acquisition, the data were cleaned and processed, such as Savitzky-Golay filtering to remove noise or artifacts and smooth the signal.
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Traditional magnetic localization methods based on mathematical model and optimization algorithm often fail to achieve the global optimum due to their dependency on initial values of pose parameters. Despite deep learning can potentially address these limitations, the existing methods are restricted to capture both global position distribution and local spatial features, leading to diminished performance in tasks required precise pose information.
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