DPDA: A dual-path domain adaptation method for cross-terrain real-time attack detection in mobile robots.

Wang Y, He Z, Chen Y, Zhang D, Karimi HR

DOI: 10.1016/j.neunet.2026.109848
Published: 2026 Nov 1
Container: Neural networks : the official journal of the International Neural Network Society
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109848,
  title = {DPDA: A dual-path domain adaptation method for cross-terrain real-time attack detection in mobile robots.},
  author = {Wang Y and He Z and Chen Y and Zhang D and Karimi HR},
  year = {2026},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2026.109848},
  url = {https://doi.org/10.1016/j.neunet.2026.109848}
}

RIS

TY  - JOUR
TI  - DPDA: A dual-path domain adaptation method for cross-terrain real-time attack detection in mobile robots.
AU  - Wang Y
AU  - He Z
AU  - Chen Y
AU  - Zhang D
AU  - Karimi HR
PY  - 2026
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2026.109848
UR  - https://doi.org/10.1016/j.neunet.2026.109848
ER  -

APA

Y, W., Z, H., Y, C., D, Z., & HR, K. (2026). DPDA: A dual-path domain adaptation method for cross-terrain real-time attack detection in mobile robots.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109848

Source records

pubmed · retrieved 2026-11-10T13:47:01.967Z
europe-pmc · retrieved 2026-11-10T13:47:01.972Z