A Novel Completion Method for Sparse Traffic Data Imputation
R Ouyang, Y Hu, H Wang, R Hu… - IEEE Intelligent …, 2025 - ieeexplore.ieee.org
Traffic data imputation is essential in smart cities and the Internet of Things (IoT). Tensor
completion is an efficient method for traffic data imputation. However, these methods …
completion is an efficient method for traffic data imputation. However, these methods …
ST-GIN: An uncertainty quantification approach in traffic data imputation with spatio-temporal graph attention and bidirectional recurrent united neural networks
Traffic data serves as a fundamental component in both research and applications within
intelligent transportation systems. However, real-world transportation data, collected from …
intelligent transportation systems. However, real-world transportation data, collected from …
[CITATION][C] 북극해 교통량 데이터와 이차원 종속 트랜스포머 기반의 북극해의 장기 오염 예측 연구
김영휘， 심성현 - 대한산업공학회 추계학술대회 논문집, 2024 - dbpia.co.kr
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0.897 5.58 0.918 5.93 0.911 360 5.39 0.916 5.65 0.921 6.09 0.907 5.51 0.920 6.11 0.910 …
0.897 5.58 0.918 5.93 0.911 360 5.39 0.916 5.65 0.921 6.09 0.907 5.51 0.920 6.11 0.910 …