ISTGCN: Integrated spatio-temporal modeling for traffic prediction using traffic graph convolution network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04976-9.pdf
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4. Ali M, Adnan M, Tariq M, Poor HV (2021) Load forecasting through estimated parametrized based fuzzy inference system in smart grids. IEEE Trans Fuzzy Syst 29(1):156–165. https://doi.org/10.1109/TFUZZ.2020.2986982
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1. Transformer-Based Spatiotemporal Graph Diffusion Convolution Network for Traffic Flow Forecasting;Electronics;2024-08-09
2. Fft-asvr: an adaptive approach for accurate prediction of IoT data streams;The Journal of Supercomputing;2024-03-14
3. Spatio-Temporal Contextual Conditions Causality and Spread Delay-Aware Modeling for Traffic Flow Prediction;IEEE Access;2024
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