November 2014

Table of Contents - PeerJ (Biology Articles)

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biodiversity
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Automatic identification of species with neural networks

Neural networks identify species

November 4, 2014

Automatic identification of species with neural networks

Researchers have developed an automated system to recognize fish, plant, and butterfly species from photographic images. The system has demonstrated high accuracy of over 90% for data sets of over 11,000 individuals from 740 species -

- read article

November 4, 2014
Automatic identification of species with neural networks
26 citations
1,893 downloads
15,033 views
,
biodiversity
conservation-biology
ecology
taxonomy
computational-science
https://doi.org/10.7717/peerj.563 PubMed 25392749
November 25, 2014
Systematics of putative euparkeriids (Diapsida: Archosauriformes) from the Triassic of China
12 citations
806 downloads
4,188 views
, , ,
biodiversity
evolutionary-studies
paleontology
taxonomy
zoology
https://doi.org/10.7717/peerj.658 PubMed 25469319
November 4, 2014
Changes in species diversity of arboreal spiders in Mexican coffee agroecosystems: untangling the web of local and landscape influences driving diversity
9 citations
903 downloads
2,430 views
, , , ,
agricultural-science
biodiversity
ecology
coupled-natural-and-human-systems
https://doi.org/10.7717/peerj.623 PubMed 25392751
November 13, 2014
Error correction and diversity analysis of population mixtures determined by NGS
4 citations
613 downloads
2,261 views
, , ,
biodiversity
bioinformatics
computational-biology
genetics
mathematical-biology
https://doi.org/10.7717/peerj.645 PubMed 25405074
November 25, 2014
The PGI enzyme system and fitness response to temperature as a measure of environmental tolerance in an invasive species
2 citations
452 downloads
2,071 views
, , , ,
biodiversity
conservation-biology
entomology
https://doi.org/10.7717/peerj.676 PubMed 25469320
Automatic identification of species with neural networks

Neural networks identify species

November 4, 2014

Automatic identification of species with neural networks

Researchers have developed an automated system to recognize fish, plant, and butterfly species from photographic images. The system has demonstrated high accuracy of over 90% for data sets of over 11,000 individuals from 740 species -

- read article

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
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