A deep state space model with attention-based CNN encoder and Kalman filter achieves the best average prediction accuracy across three cellular traffic datasets.
Traffic flow prediction with big data: A deep learning approach,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
A deep state space model with attention-based CNN encoder and Kalman filter achieves the best average prediction accuracy across three cellular traffic datasets.