Barely Significant
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Short-Term Forecast of Indoor CO<sub>2</sub> Using Attention-Based LSTM: A Use Case of a Hospital in Greece.

Sensors (Basel) · 2025 · PMC12431188 · PMID 40942810

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highly significantp < 0.001actually significant
Noise level, air temperature, relative humidity, and PM 2.5 exhibited highly significant Granger causality ( p < 0.001 ) across all the 24 time lags, indicating sustained predictive strength for CO 2 concentration throughout the entire 120-min temporal window.

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