2025
Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing
RA-L 2025
Soft sensing is a promising solution to predict key quality variables in various industries. One of the major obstacles to building an accurate data-driven soft sensor is the scarcity of labeled data and the challenge of extracting useful information from unlabeled data. To mitigate this issue, this