Conformal Lower Bounds and Selective Abstention for Out-of-Distribution Drone Propeller Damage Estimation - manuscript source and figures

LaTeX manuscript source and publication figures for the ACIIDS 2027 submission “Conformal Lower Bounds and Selective Abstention for Out-of-Distribution Drone Propeller Damage Estimation”. The ZIP contains the manuscript (main.tex), numerical macros, tables, BibTeX sources, prebuilt bibliography, eight vector PDF figures, and the Springer LNCS class and bibliography style required for typesetting. It does not contain experimental scripts, flight-level predictions, raw CrazyPAD data, or model checkpoints. It supports recompilation of the manuscript; it is not a complete experimental reproduction package. Submitted manuscript: conference acceptance or publication is not asserted. Third-party template files retain their original terms.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23829893
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
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article

Conformal Lower Bounds and Selective Abstention for Out-of-Distribution Drone Propeller Damage Estimation - manuscript source and figures

NHAT TUNG LE, Duc Tai Hoang, Thu Le, Hoang Nguyen et al.
Zenodo (CERN European Organization for Nuclear Research)
Advanced Neural Network Applications
article

Conformal Lower Bounds and Selective Abstention for Out-of-Distribution Drone Propeller Damage Estimation - manuscript source and figures

NHAT TUNG LE, Duc Tai Hoang, Thu Le, Hoang Nguyen, Nhat Truong
article en

Abstract

LaTeX manuscript source and publication figures for the ACIIDS 2027 submission “Conformal Lower Bounds and Selective Abstention for Out-of-Distribution Drone Propeller Damage Estimation”. The ZIP contains the manuscript (main.tex), numerical macros, tables, BibTeX sources, prebuilt bibliography, eight vector PDF figures, and the Springer LNCS class and bibliography style required for typesetting. It does not contain experimental scripts, flight-level predictions, raw CrazyPAD data, or model checkpoints. It supports recompilation of the manuscript; it is not a complete experimental reproduction package. Submitted manuscript: conference acceptance or publication is not asserted. Third-party template files retain their original terms.

Zenodo (CERN European Organization for Nuclear Research)
FPT University (VN), Ho Chi Minh City University of Science (VN)
Openalex Percentile: Top 16%
Advanced Neural Network Applications
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