Home ›
Entities
› academia
› Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles
Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles
Research article (Scientific Reports, 2022) · cited 24× · AI/ML
Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles
Summary
Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles is a scholarly article[1].
Key Facts
Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles'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). Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessment-of-deep-convolutional-neural-network-models-for-species-identification-of-forensically-important-fly-maggots-
MLA“Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessment-of-deep-convolutional-neural-network-models-for-species-identification-of-forensically-important-fly-maggots-.
BibTeX@misc{4ortxyz_assessment-of-deep-convolutional-neural-network-models-for-species-identification-of-forensically-important-fly-maggots-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles}}, year = {2026}, url = {https://4ort.xyz/entity/assessment-of-deep-convolutional-neural-network-models-for-species-identification-of-forensically-important-fly-maggots-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles — https://4ort.xyz/entity/assessment-of-deep-convolutional-neural-network-models-for-species-identification-of-forensically-important-fly-maggots- (retrieved 2026-05-24)