Home ›
Entities
› academia
› FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks
FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks
Research article (Heliyon, 2024) · cited 17× · AI/ML
FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks
Summary
FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks is a scholarly article[1].
Key Facts
FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuz-smo-a-fuzzy-slime-mould-optimizer-for-mitigating-false-alarm-rates-in-the-classification-of-underwater-datasets-usin
MLA“FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuz-smo-a-fuzzy-slime-mould-optimizer-for-mitigating-false-alarm-rates-in-the-classification-of-underwater-datasets-usin.
BibTeX@misc{4ortxyz_fuz-smo-a-fuzzy-slime-mould-optimizer-for-mitigating-false-alarm-rates-in-the-classification-of-underwater-datasets-usin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/fuz-smo-a-fuzzy-slime-mould-optimizer-for-mitigating-false-alarm-rates-in-the-classification-of-underwater-datasets-usin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks — https://4ort.xyz/entity/fuz-smo-a-fuzzy-slime-mould-optimizer-for-mitigating-false-alarm-rates-in-the-classification-of-underwater-datasets-usin (retrieved 2026-05-24)
