Computer Vision over 4G/5G Private Network for Real-Time Draft Assessment to Estimate Vessel Productivity.

Mathias TN, Gonçalves HDSB, Paschoal VV, Lima DHA, Duque JCO, Lotenberg A, Araújo WE, Botter RC, Mota DO

Open source

DOI: 10.3390/s26082443
Published: 2026 Apr 16
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26082443,
  title = {Computer Vision over 4G/5G Private Network for Real-Time Draft Assessment to Estimate Vessel Productivity.},
  author = {Mathias TN and Gonçalves HDSB and Paschoal VV and Lima DHA and Duque JCO and Lotenberg A and Araújo WE and Botter RC and Mota DO},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26082443},
  url = {https://doi.org/10.3390/s26082443}
}

RIS

TY  - JOUR
TI  - Computer Vision over 4G/5G Private Network for Real-Time Draft Assessment to Estimate Vessel Productivity.
AU  - Mathias TN
AU  - Gonçalves HDSB
AU  - Paschoal VV
AU  - Lima DHA
AU  - Duque JCO
AU  - Lotenberg A
AU  - Araújo WE
AU  - Botter RC
AU  - Mota DO
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26082443
UR  - https://doi.org/10.3390/s26082443
ER  -

APA

TN, M., HDSB, G., VV, P., DHA, L., JCO, D., A, L., WE, A., RC, B., & DO, M. (2026). Computer Vision over 4G/5G Private Network for Real-Time Draft Assessment to Estimate Vessel Productivity.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26082443

Source records

pubmed · retrieved 2026-09-25T05:39:32.265Z
europe-pmc · retrieved 2026-09-25T05:39:32.278Z
doaj · retrieved 2026-09-25T05:39:32.245Z