Results 251 to 260 of about 82,239 (329)

Optimized Deep Learning‐Based Cabbage Stem Detection and Depth Classification

open access: yesJournal of Food Process Engineering, Volume 49, Issue 5, May 2026.
A deep learning‐based approach using YOLOv5 enables accurate cabbage stem detection and depth classification, supporting efficient and automated cabbage processing applications. ABSTRACT In food industry, removing the nonedible parts causes reduction of production efficiency due to its heavily labor‐intensive process with a lot of loss of the edible ...
Tae Hyong Kim   +3 more
wiley   +1 more source

N-aldehyde-modified phosphatidylethanolamines generated by lipid peroxidation are robust substrates of N-acyl phosphatidylethanolamine phospholipase D. [PDF]

open access: yesJ Lipid Res
Fadaei R   +7 more
europepmc   +1 more source

Samplify: a versatile tool for image‐based segmentation and annotation of seed abortion phenotypes

open access: yesNew Phytologist, Volume 250, Issue 3, Page 1964-1978, May 2026.
Summary Automated seed phenotyping has wide applications in research and agriculture and relies on easy‐to‐use platforms and pipelines. Seed phenotyping in the model species Arabidopsis thaliana poses a significant challenge due to the large number of tiny seeds produced by individual plants, which are difficult to manually separate and count.
Heinrich Bente   +4 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, Volume 32, Issue 15, 22 April 2026.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

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