Evaluating Predictive World-Model Representations for Long-Horizon Forklift–Worker Risk Forecasting

Ayhan Küçükmanisa, Ali Berk Ayvalı, Haydar Ekrem Kara

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DOI: 10.20944/preprints202610.2489.v1
Published: 2026-10-26
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202610.2489.v1,
  title = {Evaluating Predictive World-Model Representations for Long-Horizon Forklift–Worker Risk Forecasting},
  author = {Ayhan Küçükmanisa and Ali Berk Ayvalı and Haydar Ekrem Kara},
  year = {2026},
  doi = {10.20944/preprints202610.2489.v1},
  url = {https://doi.org/10.20944/preprints202610.2489.v1}
}

RIS

TY  - JOUR
TI  - Evaluating Predictive World-Model Representations for Long-Horizon Forklift–Worker Risk Forecasting
AU  - Ayhan Küçükmanisa
AU  - Ali Berk Ayvalı
AU  - Haydar Ekrem Kara
PY  - 2026
DO  - 10.20944/preprints202610.2489.v1
UR  - https://doi.org/10.20944/preprints202610.2489.v1
ER  -

APA

Küçükmanisa, A., Ayvalı, A. B., & Kara, H. E. (2026). Evaluating Predictive World-Model Representations for Long-Horizon Forklift–Worker Risk Forecasting. https://doi.org/10.20944/preprints202610.2489.v1

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crossref · retrieved 2026-11-10T15:52:11.280Z