Research Article
Multilevel RNN-Based PM10 Air Quality Prediction for Industrial Internet of Things Applications in Cleanroom Environment
| Collection site | Future building Kookmin University (Seoul, Korea) |
| Number of records | 1,048,576 data | Size | 381 MB (39997.440 bytes) | Collection period | 369 h (11 August 2020–28 August 2020) | Value types | Five air quality variables (PM10, PM2.5, temperature, humidity, and PM10 LoRa) |
|
|