SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling

Yun Cheng, Olga Saukh, Lothar Thiele. SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling. IEEE Internet of Things Journal, 9(20):20577-20589, 2022. [doi]

@article{ChengST22,
  title = {SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling},
  author = {Yun Cheng and Olga Saukh and Lothar Thiele},
  year = {2022},
  doi = {10.1109/JIOT.2022.3177948},
  url = {https://doi.org/10.1109/JIOT.2022.3177948},
  researchr = {https://researchr.org/publication/ChengST22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Internet of Things Journal},
  volume = {9},
  number = {20},
  pages = {20577-20589},
}