Skip to content
DraconiticResearch
Search Sources API
186,125 studies31 sourcesUpdated 2 min ago
Peer-reviewedLicence Ouverte 2.0IEEE Transactions on Medical Robotics and Bionics

Attention-LSTM Network for Improved Hysteresis Compensation of a Single-Port Surgical Robot

Related

  1. A multi-attention mechanism-improved ResNet18 approach for lithology identification and classification
    Yan Zhang, Fan Zhang, Jiaming Li +2
    PLOS OnePeer-reviewedCC BY 4.0Full textNeuroscienceGeology & geochemistryPLOSPMC
  2. Sentiment classification optimization based on improved Senti-BERT and BiLSTM-Attention
    Jie Zhang, Jianbang Liu, Zhaosheng Xu
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePLOS
  3. Speech enhancement method integrating squeeze and excitation channel attention mechanism and improved CGAN
    Yecai Guo, Meiyu Liang, Tianyue Jiang
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePLOS
  4. MSCF-DM: center-site-aware attention and gated multi-scale fusion network for cross-species DNA methylation site prediction
    Xin Wei, Siqin Hu
    BMC GenomicsPeer-reviewedCC BY 4.0Genetics & genomicsCrossref
  5. Social attention and coordinated movement produce dissociable spectral and network changes during dyadic improvisational dance
    R. M. DeLauder, N. Tasnim, M. Aychman +8
    bioRxivPreprintAll rights reservedFull textNeurosciencebioRxiv
BibTeX
@article{zhang2026attentionlstm,
  title = {{Attention-LSTM Network for Improved Hysteresis Compensation of a Single-Port Surgical Robot}},
  author = {Xiaohang Zhang and Di Wu and Matthias Tummers and Emmanuel Vander Poorten},
  journal = {IEEE Transactions on Medical Robotics and Bionics},
  year = {2026},
  month = oct,
  doi = {10.1109/tmrb.2026.3744419},
  url = {https://hal.science/hal-05828641v1},
}
RIS
TY  - JOUR
TI  - Attention-LSTM Network for Improved Hysteresis Compensation of a Single-Port Surgical Robot
AU  - Xiaohang Zhang
AU  - Di Wu
AU  - Matthias Tummers
AU  - Emmanuel Vander Poorten
PY  - 2026
DA  - 2026/10/19
JO  - IEEE Transactions on Medical Robotics and Bionics
DO  - 10.1109/tmrb.2026.3744419
UR  - https://hal.science/hal-05828641v1
SN  - 2576-3202
SN  - 2576-3202
ER  -