November 2014

Table of Contents - PeerJ (Biology Articles)

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evolutionary-studies
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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 -

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November 13, 2014
Three-dimensional reconstruction and the phylogeny of extinct chelicerate orders
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https://doi.org/10.7717/peerj.641 PubMed 25405073
November 13, 2014
Cocaine affects foraging behaviour and biogenic amine modulated behavioural reflexes in honey bees
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https://doi.org/10.7717/peerj.662 PubMed 25405075
November 6, 2014
Microsatellite frequencies vary with body mass and body temperature in mammals, suggesting correlated variation in mutation rate
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https://doi.org/10.7717/peerj.663 PubMed 25392761
November 25, 2014
Systematics of putative euparkeriids (Diapsida: Archosauriformes) from the Triassic of China
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https://doi.org/10.7717/peerj.658 PubMed 25469319
November 6, 2014
Quantitative measurement of odor detection thresholds using an air dilution olfactometer, and association with genetic variants in a sample of diverse ancestry
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https://doi.org/10.7717/peerj.643 PubMed 25392755
November 27, 2014
Transcriptome analyses of Anguillicola crassus from native and novel hosts
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https://doi.org/10.7717/peerj.684 PubMed 25469324
November 4, 2014
Jumping performance in the highly aquatic frog, Xenopus tropicalis: sex-specific relationships between morphology and performance
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https://doi.org/10.7717/peerj.661 PubMed 25392760
November 4, 2014
Prior mating success can affect allocation towards future sexual signaling in crickets
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https://doi.org/10.7717/peerj.657 PubMed 25392758
November 4, 2014
Evolving California genotypes of Avena barbata are derived from multiple introductions but still maintain substantial population structure
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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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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.
Sohath Vanegas,
PeerJ Author
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