November 2014

Table of Contents - PeerJ (Biology Articles)

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ecology
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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
,
https://doi.org/10.7717/peerj.563 PubMed 25392749
November 6, 2014
Naïve prey exhibit reduced antipredator behavior and survivorship
https://doi.org/10.7717/peerj.665 PubMed 25392763
November 27, 2014
Removal of corallivorous snails as a proactive tool for the conservation of acroporid corals
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https://doi.org/10.7717/peerj.680 PubMed 25469321
November 4, 2014
Evidence for coal forest refugia in the seasonally dry Pennsylvanian tropical lowlands of the Illinois Basin, USA
, , ,
https://doi.org/10.7717/peerj.630 PubMed 25392752
November 4, 2014
Changes in species diversity of arboreal spiders in Mexican coffee agroecosystems: untangling the web of local and landscape influences driving diversity
, , , ,
https://doi.org/10.7717/peerj.623 PubMed 25392751
November 25, 2014
Spawning aggregation behavior and reproductive ecology of the giant bumphead parrotfish, Bolbometopon muricatum, in a remote marine reserve
, , ,
https://doi.org/10.7717/peerj.681 PubMed 25469322
November 4, 2014
Evolving California genotypes of Avena barbata are derived from multiple introductions but still maintain substantial population structure
, ,
https://doi.org/10.7717/peerj.633 PubMed 25392753
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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