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SSIM Model for IOTJ Paper
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SSIM Model

This is the SSIM model for SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data

Considering the dataset we are using in the paper is not public available, we use a different open dataset for demo.

The original PM2.5 data can be download from: PM2.5

The Pytorch implementation has not been fully tested. Bugs may be fixed later.

Code structure:

/checkpoints ------- store trained model

/data ------- data set

/model ------- SSIM model: encoder, decoder, attention


/prepare_PM2.5 ------------ prepare train/test for PM2.5 data. 2010-2013 for train, 2014 for test

/VLSM --------------- VLSM algorithm to generate variable length samples (with 0 pad)

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