Home › Entities › academia › A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models

A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models

Research article (Information Processing in Agriculture, 2023) · cited 10× · AI/ML
academia openalex:W4388840610
Press Enter · cited answer in seconds

A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models

Summary

A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models is a scholarly article[1].

Key Facts

  • A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models
MLA “A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models.
BibTeX @misc{4ortxyz_a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models — https://4ort.xyz/entity/a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-hybrid-genetic-slime-mould-algorithm-for-parameter-optimization-of-field-road-trajectory-segmentation-models · Last refreshed: