A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground Multi-Robot Systems
- DOI
- 10.1016/j.neunet.2026.109358
- Published
- 2027-01
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109358,
title = {A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground Multi-Robot Systems},
author = {Xin Chen and Lin Zhang and Haonian Wu and Xin Han and Biao He and Feng Hu and Tao Fu and Yihui Pang and Rulin Zhou},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109358},
url = {https://doi.org/10.1016/j.neunet.2026.109358}
}RIS
TY - JOUR TI - A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground Multi-Robot Systems AU - Xin Chen AU - Lin Zhang AU - Haonian Wu AU - Xin Han AU - Biao He AU - Feng Hu AU - Tao Fu AU - Yihui Pang AU - Rulin Zhou PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109358 UR - https://doi.org/10.1016/j.neunet.2026.109358 ER -
APA
Chen, X., Zhang, L., Wu, H., Han, X., He, B., Hu, F., Fu, T., Pang, Y., & Zhou, R. (2027). A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground Multi-Robot Systems. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109358
Source records
- crossref · retrieved 2026-09-26T05:28:03.883Z